International Conference on Optical and

Photonic Engineering

24 - 27 November 2022 Virtual

International Conference on

Optical and Photonic Engineering

24 - 27 November 2022 Virtual

Plenary Speakers

Arie den Boef
ASML Netherlands B.V., Netherlands

Arie den Boef joined Philips Research Laboratories as a research assistant where he worked on characterizing the noise and coherence properties of laser diodes. He studied electrical engineering at the Eindhoven Polytechnic Institute where he received a B.Sc. degree in 1985. In 1985 he joined the optics group of Philips Research where he first worked on holographic interferometry. In 1991 he received the Ph.D. degree from the University of Twente with a thesis titled “Scanning Force Microscopy using Optical Interferometry”. From 1992 till 1995 den Boef worked at Philips Medical Systems in the area of Magnetic Resonance Imaging (MRI) and in 1995 he joined Philips Optical Storage where a worked as a system engineer on CD-Recordable/Rewritable systems. In 1997 he joined ASML as a system engineer. In 2002 he joined ASML’s research department where he started exploring optical sensors and measurement systems with emphasis on wafer alignment sensors and scatterometry for CD and overlay metrology. Den Boef was appointed part-time full professor in 2016 at the Vrije Universiteit of Amsterdam in the area of “nano-lithography and metrology”. At the university he is teaching a master course on optical wafer metrology techniques and he has set-up a small research group that explores the use of computational imaging techniques for metrology

Speech title: Optical metrology in advanced semiconductor device patterning

Abstract: The continuous drive to increase device density on semiconductor chips has been enabled by major innovations in areas like optical lithography and transistor architectures. Extreme Ultraviolet (EUV) lithography using an exposure wavelength of 13.5 nm has been introduced and the NA of EUV lithography tools is being pushed to extreme values. In addition, the conventional planar CMOS transistor has evolved into a complex 3D-device (the “nanosheet” transistor) that has enabled a further increase of device density. To ensure sufficient yield in the manufacturing of these devices it is essential that important patterning parameters like overlay (OV), Critical Dimension (CD) and a 3D-profile can be robustly measured with sub-nanometer precision and at high throughput. Several metrology technologies can be considered and optical techniques like scatterometry are often favored since they have the benefit of being non-destructive and potentially very fast. However, over time, optically measuring these parameters has become increasingly complex and this growing complexity is driving the need for significant innovations in many areas of optical metrology. This paper will present the patterning innovations mentioned above in some more detail and explain the resulting optical metrology challenges that the semiconductor industry is facing. We will then present how progress in photonic-technology areas like light sources, image sensors and computational imaging methods have enabled novel solution directions that can tackle some of these metrology challenges.


Aydogan Ozcan
University of California, Los Angeles, USA

Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute, leading the Bio- and Nano-Photonics Laboratory at UCLA School of Engineering and is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI), holds>55 issued/granted patents, and is the author of one book and the co-author of >950 peer-reviewed publications in major scientific journals and conferences. Dr. Ozcan is the founder and a member of the Board of Directors of Lucendi Inc., Hana Diagnostics, Pictor Labs, as well as Holomic/Cellmic LLC, which was named a Technology Pioneer by The World Economic Forum in 2015. Dr. Ozcan is also a Fellow of the American Association for the Advancement of Science (AAAS), the International Photonics Society (SPIE), the Optical Society of America (OSA), the American Institute for Medical and Biological Engineering (AIMBE), the Institute of Electrical and Electronics Engineers (IEEE), the Royal Society of Chemistry (RSC), the American Physical Society (APS) and the Guggenheim Foundation, and has received major awards including the Presidential Early Career Award for Scientists and Engineers, International Commission for Optics (ICO) Prize, Joseph Fraunhofer Award & Robert M. Burley Prize (Optica), Biophotonics Technology Innovator Award (SPIE), Rahmi M. Koc Science Medal, International Photonics Society Early Career Achievement Award (SPIE), Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering The Grainger Foundation Frontiers of Engineering Award and MIT’s TR35 Award for his seminal contributions to computational imaging, sensing and diagnostics. Dr. Ozcan is also listed as a Highly Cited Researcher by Web of Science, Clarivate

Speech title: Diffractive Optical Networks & Computational Imaging Without a Computer

Abstract: I will discuss diffractive optical networks designed by deep learning to all-optically implement various complex functions as the input light diffracts through spatially-engineered surfaces. These diffractive processors designed by deep learning have various applications, e.g., all-optical image analysis, feature detection, object classification, computational imaging and seeing through diffusers, also enabling task-specific camera designs and new optical components such as spatial, spectral and temporal beam shaping and spatially-controlled wavelength division multiplexing. These deep learning-designed diffractive systems can broadly impact (1) all-optical statistical inference engines, (2) computational camera and microscope designs and (3) inverse design of optical systems that are task-specific. In this talk, I will give examples of each group, enabling transformative capabilities for various applications of interest in e.g., autonomous systems, defense/security, telecommunications as well as biomedical imaging and sensing.


Sen Han
University of Shanghai for Science and Technology, China

Dr. Sen Han received his PhD degree in optical engineering from the University of Stuttgart, Germany. He is a professor and doctoral supervisor of University of Shanghai for Science and Technology, a Fellow of the International Society for Optical Engineering (SPIE), an adjunct professor of the College of Optical Sciences at the University of Arizona, USA. He has received R&D 100 awards twice. He has undertaken more than 20 scientific research and engineering projects, developed more than 40 new products, and published 15 academic proceedings, 115 papers, and 51 patents.

Speech title: Application of Optical Interference Technology in Precision Inspection of Large Scientific Facilities

Abstract: Large scientific facilities have become a hot topic for scientific research and industria1 development in the fields of physics, chemistry, materials science, biology, medicine,biomedical applications, environmental science, and archaeology. The presentation illustrates the need for the optical components with ultra-high precision, which are mainly for folding or collimating beams, and either flat or curved in shape, using three typical large scientific facilities as examples. The extremely high demands on optical component morphology make existing measurement methods so challenging.

China Light Source: It consists of X-ray free electron laser facility and synchrotron radiation light sources, including Hefei, Beijing, Shanghai and Shenzhen light sources. The light source is an extremely complex large scientific project, including numerous systems, which involve super-conducting high-frequency and low-temperature technology, ultra-high vacuum technology, high-precision digital power supply technology, high-performance magnet and mechanical collimation technology, high-performance beam diagnostic technology, advanced control technology, and advanced beam line technology and many other advanced technologies, component development and system integration is extremely difficult, ultra-smooth surface shape accuracy to be better than λ/100PV. In particular, the failure rate must be very low under the premise of ensuring the performance of each system, in order to achieve the intended goal of providing stable beam current for tens to tens of hours and annual operation of more than 5000 hours of light supply time.

Gravitational Wave Detection: Since the announcement of the first detection of gravitational waves by the LIGO project team in 2016, gravitational wave detection has rapidly become a worldwide hot spot, with several countries, including the United States, Italy, France and Japan, having completed the construction of second/third-generation ground-based gravitational wave detectors. In China, several organizations are working on this project, including the "Taiji Project" initiated by the Chinese Academy of Sciences and the "Tianqin Project" initiated by Sun Yat-Sen University, which are both working intensively on this project. The construction of gravitational wave detectors requires the use of a large number of ultra-high-precision optical components, conventional detection means can hardly meet the requirements of the detection accuracy of its optical components, therefore, the development of high-end laser interferometer and detection technology for gravitational wave detection plays a major role in promoting.

High Power Laser: High power laser requires the use of a large number of large-aperture optical flat glasses. This project puts forward strict requirements on the quantity and quality of the optical components required. China has done a lot of work in the high power lasers. On the basis of the latest high-power laser facility, according to its conceptual design, it is proposed that more laser groups will need to be designed and developed, and the number of large optical components included is tens of thousands, whose demand for processing and testing of large-diameter optical components is unprecedented.


Keynote Speakers

Bing Pan
Beihang University, China

Pan Bing is a full professor in School of Aerospace Science & Engineering at Beihang University (BUAA), China. He received his Ph.D degree in Mechanical Engineering from Tsinghua University in 2008. After working with Professor Anand Asundi in Nanyang Technological University (Singapore) as a postdoctor, he joined Institute of Solid Mechanics, BUAA in 2009. Prof. Pan won the National Science Fund for Distinguished Young Scholars in 2019. His current research interests mainly focus on advanced optical techniques and their applications to experimental mechanics, especially the digital image/volume correlation techniques for surface/internal deformation measurement of solid materials and structures, as well as new experimental techniques for characterizing thermo-mechanical behavior of hypersonic materials and structures. He has published more than 120 peer-reviewed articles in international journals. All his publications have been cited over 13000 times according to Google Scholar.

Speech title: Novel camera calibration methods for regular- and large-scale digital image correlation measurements

Abstract: Accurate camera calibration is of fundamental importance to various vision-based 3D metrological techniques, such as stereo-digital image correlation (stereo-DIC). Regular planar calibration targets based on checkerboard or circular pattern have been widely adopted in stereo-DIC measurements. However, their calibration accuracy is still limited in regular-sized measurement due to the limited feature point amount and feature point detection accuracy. Additionally, large-scale measruement tasks require a large-scale calibration target, which is difficult to be manufactured with good accuracy and hard to be adjusted in space.

In this presentation, we will present some novel camera calibration methods to deal with these issues. In regular-sized measurement tasks, we use a synthetic random speckle pattern as the calibration target. A large amount of points on the speckle pattern could be accurately matched using DIC method, which can then be used for accurate camera calibration. In large-scale measurement tasks, a defocus-insensitive normal-scale phase-shifted circular fringe pattern is used to calibrate the intrinsic parameters of both cameras. Then, scale-free extrinsic parameters are computed from the epipolar geometry, which can be easily retrieved from DIC registration of homologous point pairs in the stereo images of a test specimen surface. These novel calibration methods are believed to be viable solutions for accurate regular-sized and large-scale 3D deformation measurement tasks.


Dawei Zhang
University of Shanghai for Science and Technology, China

Zhang Dawei, Professor of Shanghai University of Technology, Special Professor of Changjiang Scholar, National Ten Thousand Talents Plan, Young and Middle aged Innovation Leader of the Ministry of Science and Technology, Shanghai Young Science and Technology Talent, Shanghai Dawn Scholar, and Shanghai Science and Technology Star. He is now the director of the Optical Instrument and System Engineering Research Center of the Ministry of Education, the director of Shanghai Extreme Optical Manufacturing and Testing Engineering Research Center, and the president of the Institute of Science and Technology Development of Shanghai University of Technology.

His research interests are precision optical elements and medical photoelectric instruments. He has published more than 100 papers indexed by SCI in relevant fields, and his representative papers have been published in Light: Science and Applications (NATURE sub journal), Lab on a chip, ACS Appl Mater. Interfaces, Optics Letter and other international famous journals have authorized more than 40 invention patents, presided over a number of national level topics such as national key research and development plans, national major scientific instrument and equipment development projects, national science and technology support plans, and national natural science funds. The transformation of achievements has generated considerable economic and social benefits, and won 5 provincial and ministerial science and technology awards such as the first prize of Shanghai Science and Technology Progress Award, the second prize of the Ministry of Education for technological invention. He is also a member of the Third National Photoelectric Measurement Standardization Technical Committee and the Sixth National Optical and Photonics Standardization Technical Committee (SAC/TC103).

Speech title: Microfluidic optical elements and medical instruments

Abstract: Optical flow control technology has attracted more and more attention in the field of ultra precision optical element manufacturing. In recent years, various optical flow control processing technologies have been proposed, and various advanced ultra precision optical devices have been realized through optical flow control technology. In this paper, we introduce a variety of ultra precision optical devices realized by optical flow control technology, including optical lens, microlens array, spiral phase plate and guided mode resonance filter. By manipulating the surface potential energy of the liquid, we have made a variety of liquid drop lenses and microlens arrays. Some key optical properties of the lens can be flexibly adjusted by adjusting the lens morphology and selecting different materials. The liquid drop lens doped with color dye can not only be used as a magnifying lens, but also can realize the function of optical filtering. The research and development of new medical instruments can be carried out by using optofluidic precision devices and microfluidic technology. In this paper, we introduce the rapid PCR, rapid gel electrophoresis, high-speed cell imaging and other instruments based on this principle.


Guoqiang Li
Zhejiang Lab, China

Dr. Guoqiang Li is currently a Professor at Zhejiang Lab. He was a faculty member and Endowed Chair at the Ohio State University, USA. He is a Fellow of Optica and SPIE. He received the Outstanding Young Scholar Award from Hong Kong Qiu-Shi Science & Technology Foundation, Young Scientist Award from Chinese Academy of Sciences, and Career Award from Wallace H. Coulter Foundation (USA). His research has been funded by National Institute of Health (USA). He served as the panel member for DoD Medical Research Program and the reviewer for NIH. He was the Chair of the subcommittee for Frontiers in Optics conference on Optical Design, Fabrication, and Instrumentation, and the General Chair for Optica Topical Meeting on Bio-optics Design and Applications. He also served as the Division Chair of Optica on Optical Design, Fabrication, and Instrumentation. Currently he is the Editorial Board member for Scientific Reports. His current research includes smart eyewear for vision care, liquid crystal sensors, adaptive liquid crystal optical elements, artificial retina, and intelligent imaging of the eye with adaptive optics.

Speech title: Adaptive Optics Elements for Vision Care and Imaging

Abstract: In this talk, we will present our recent work on adaptive optical elements with tunable amplitude modulation and tunable focus, and their applications in vision care and imaging.


Huijie Zhao
Beihang University, China

Professor Huijie Zhao received her PhD in 1994 in Harbin Institute Technology (HIT), China, majoring in Precision Instrument. Now she works as a professor at the Institute of Artificial Intelligence, Beihang University, China. She is also the vice-director of the Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, China. Her research interests include 3-D measurement techniques and application in Industry, Hyperspectral imaging techniques, Optical Imaging System Modelling, Simulation and evaluation, Hyperspectral data Processing, etc. She has been PI of more than 50 research projects, including the major instrument project of National Natural Science Foundation, The National Key Research and Development Program of China, National 863 Project, China Geological Survey project etc. and awarded the Second Award of National Invention twice. She has published more than 200 research papers and hold more than 100 National Invention Patents of China. She has supervised more than 30 PhD candidates so far.

Speech title: Advances in industrial 3D measurement

Abstract: As with the rapid increase of manufacturing capabilities, part quality control is transferring from 2D inspection to 3D intelligent manufacturing processes. Structured light 3D reconstruction methods have received wide attention from industry. However, high-end industrial parts present the characteristics of large-scale, complex structures and diverse materials, which cause large curvature characteristics and complex illumination conditions, resulting in the problem of unmeasurable or severely reduced accuracy. Therefore, there is an urgent need to innovate 3D measurement theory and method to break through the problem of direct 3D imaging of large, high curvature, and complex high-gloss type surfaces without spraying. In this report, the state-of-the-art 3D measurement methods in industrial are discussed, focus will mainly be on the following two aspects: 1. Spray-free direct 3D imaging methods for special surfaces such as high-gloss reflection and translucent surfaces; 2. High-precision industrial 3D measurement methods for complex and large curvature surfaces. In the future, the high-precision 3D measurement for large, high curvature, and complex high-glossy surfaces is a necessary measurement method to realize intelligent manufacturing of industrial equipment.


Junle Qu
Shenzhen University, China

Dr. Junle Qu is a Professor and the director of Center for Biomedical Optics and Photonics, Shenzhen University. His research interests include multimodal nonlinear optical imaging, super-resolution optical imaging, nanobiophotonics technology and light therapy. He has published more than 500 papers in peer reviewed journals, and was authorized more than 60 invention patents, 18 of which were transferred. Dr. Qu is the director of Biomedical Photonics Committee of Chinese Optical Society. He is the Fellow of SPIE and OPTICA, and also the associate editor of Biomedical Optics Express and the associate editor-in-chief of Journal of Innovative Optical Health Sciences (JIOHS). He serves in the editorial board of Frontiers of Optoelectronics, Biosensors and Acta Optica Sinica.

Speech title: Optimizing stimulated emission depletion imaging by optical methods, probes and deep-learning

Abstract: Stimulated emission depletion (STED) nanoscopy is an advanced super-resolution imaging technique which can provide a lateral resolution of 10-80 nm and longitudinal resolution of 30-600 nm with high imaging speed. These abilities stimulated its increasing contribution in visualizing and understanding many complex biological structures and dynamic functions at nanoscale level. However, for live cell STED imaging, the use of intense STED laser could be detrimental as it can cause severe photodamage to live cells, tissues and even fluorophores. Moreover, use of intense STED laser is likely to accelerate photobleaching process of fluorophores which may impede long-term STED imaging. We proposed two strategies to optimize STED imaging performance with reduced STED laser power. The first method relies on the development of novel STED imaging techniques such as adaptive optics, phasor analysis, digital enhancement and temporal and spatial modulation to lower the depletion power. The other method relies upon the development of new dedicated STED probes with better photostability and lower saturation intensity, including perovskite quantum dots, carbon dots, organosilicon nanohybrids and enhanced squaraine variant probe. Furthermore, we have developed a deep-learning-based algorithm for the generation of super-resolution images directly from diffraction-limited confocal images, which is a significant progress in this field.


Jingang Zhong
Jinan University, China

Jingang Zhong received his B. S. degree from Hefei University of Technology, M. S. degree from University of Science and Technology of China, and Ph. D. degree from Jinan University, respectively. He is now a professor with Department of Optoelectronic Engineering in Jinan University and the Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications. His research interests focus on computational imaging and biomedical optics.

Speech title: Single-pixel imaging techniques and single-pixel imaging-free sensing techniques

Abstract: Single-pixel imaging is a computational imaging technique that allows for image acquisition by using a spatially unresolvable detector (such as, photodiode). Benefiting the advantages of single-pixel detectors, single-pixel imaging is able to achieve imaging at non-visible wavebands in a low-cost manner, imaging under weak-light conditions, and other imaging schemes that tackle some limitations in conventional imaging. The key to single-pixel imaging is spatial information encoding through spatial light modulation. By employing proper spatial light modulation in illumination, detection, or both, 2D spatial information, 3D spatial information, multi-spectral information, or even multi-modality information can be encoded and acquired by using a single-pixel detector. The principle of single-pixel imaging inspires a few novel imaging schemes. Apart from imaging techniques that work with a single-pixel detector, imaging with single-pixel detectors has been reported in recent years and experimentally demonstrated in light-field imaging. Moreover, benefiting from high-speed spatial light modulation techniques, single-pixel imaging inspires novel techniques that can achieve fast-moving object detection, tracking, and classification in an imaging-free manner. This talk will introduce the principle and the applications of single-pixel imaging as well as some single-pixel-imaging-inspired imaging and imaging-free sensing techniques. The prospects for single-pixel imaging will also be discussed.


Liangcai Cao
Tsinghua University, China

Prof. Liangcai Cao received his BS/MS and PhD degree from Harbin Institute of Technology and Tsinghua University, in 1999/2001 and 2005, respectively. Then he became an assistant professor at Department of Precision Instruments, Tsinghua University. He is now tenured professor and director of the Institute of Opto-electronic Engineering, Tsinghua University. He was a visiting scholar at UC Santa Cruz and MIT in 2009 and 2014, respectively. His research interests are holographic imaging and holographic display. He is SPIE fellow and OPTICA fellow.

Speech title: High bandwidth holographic imaging

Abstract: Quantitative optical imaging possesses a huge information capacity. We present a high-bandwidth holographic microscopy which exploits high-throughput label-free quantitative phase image. We introduce Kramers–Kronig relations into the off-axis multiplexing technology. Based the analyticity of band-limited signal under diffraction-limited system, the maximum space bandwidth utilization limit in single multiplexing hologram is increased to the maximum limit of sensor that is 78.5%. By assisting with off-axis optimized initial phase in the phase retrieval, high-resolution and full-field reconstruction by exploiting the full bandwidth are demonstrated for complex-amplitude reconstruction. Different tumor types and a variety of precursor lesions and pathologies can be visualized with label-free specimens. It opens a new route to multiplexing quantitative optical imaging and helps to improve the performance of constraint-free modern optical microscopes in various spectral regimes.


Liangyi Chen
Peking University, China

Prof. Liangcai Cao received his BS/MS and PhD degree from Harbin Institute of Technology and Tsinghua University, in 1999/2001 and 2005, respectively. Then he became an assistant professor at Department of Precision Instruments, Tsinghua University. He is now tenured professor and director of the Institute of Opto-electronic Engineering, Tsinghua University. He was a visiting scholar at UC Santa Cruz and MIT in 2009 and 2014, respectively. His research interests are holographic imaging and holographic display. He is SPIE fellow and OPTICA fellow.

Speech title: Overcoming physical resolution limits of fluorescence microscopes with sparse deconvolution

Abstract: Here we will present two pieces of high-resolution fluorescence microscopy methods we invented for live sample imaging. The first one is for live-cell long-term super-resolution (SR) imaging. We have developed a deconvolution algorithm for structured illumination microscopy based on Hessian matrixes (Hessian-SIM). It uses the continuity of biological structures in multiple dimensions as a priori knowledge to guide image reconstruction and attains artifact-minimized SR images with less than 10% of the photon dose used by conventional SIM while substantially outperforming current algorithms at low signal intensities. Its high sensitivity allows the use of sub-millisecond excitation pulses followed by dark recovery times to reduce photobleaching of fluorescent proteins, enabling hour-long time-lapse SR imaging in live cells.

After the first work, we realized that the spatial resolutions of live-cell super-resolution microscopes are limited by the maximum collected photon flux. Taking advantage of a priori knowledge of the sparsity and continuity of biological structures, we develop a deconvolution algorithm that further extends the resolution of super-resolution microscopes under the same photon budgets by nearly twofold. As a result, sparse structured illumination microscopy (Sparse-SIM) achieves ~60 nm resolution at a 564 Hz frame rate, allowing it to resolve intricate structural intermediates, including small vesicular fusion pores, ring-shaped nuclear pores formed by different nucleoporins, and relative movements between the inner and outer membranes of mitochondria in live cells. Likewise, sparse deconvolution can be used to increase the three-dimensional resolution and contrast of spinning-disc confocal-based SIM (SD-SIM), and operates under conditions with the insufficient signal-to-noise ratio, all of which allows routine four-color, three-dimensional, ~90 nm resolution live-cell super-resolution imaging. Overall, we argue that sparse deconvolution may be a general tool to push the spatiotemporal resolution limits of live-cell fluorescence microscopy.


Peng Xi
Peking University, China

Prof. Peng Xi is a professor in College of Future Technology, Peking University, China. His research interest is focused on research and development of optical super-resolution microscopy techniques. He has published over 80 scientific papers in peer-reviewed journals including Nature, Nature Methods, Light, etc., and holds 19 issued invention patents, including 4 US patents. He is a fellow of International Association of Advanced Materials, and a senior member of OSA. In 2020, he was awarded the NSFC National Outstanding Young Scholar. He is currently on the editorial board of 5 SCI-indexed journals such as Light: Science and Applications and Advanced Photonics. He has been invited to give over 50 invited talks in international conferences hosted by OSA and SPIE. He is also the Managing editor for Light: Science and Applications Beijing Office, in responsible for the News and Views section of the journal.

Speech title: Super-resolution: an adventure on a new dimension

Abstract: Super-resolution microscopy can attain unprecedented spatial resolution for the study of biological interactions. Here I will present two developments on the polarization-based structured illumination microscopy: (1) We developed polarized structured illumination microscopy (pSIM), which achieves super-resolution imaging of dipoles by interpreting the dipoles in spatio-angular hyperspace. We demonstrate the application of pSIM on a series of biological filamentous systems, such as cytoskeleton networks and λ-DNA, and report the dynamics of short actin sliding across a myosin-coated surface. Moreover, pSIM reveals the side-by-side organization of the actin ring structures in the membrane-associated periodic skeleton of hippocampal neurons. (2) We further report Spectrum and Polarization Optical Tomography (SPOT) technique to study the subcellular lipidomics in live cells. Simply using one single dye that universally stains lipid membranes, SPOT can simultaneously resolve the membrane morphology, polarity, and phase from the three optical-dimensions of intensity, spectrum, and polarization, respectively. These high-throughput optical properties reveal lipid heterogeneities of ten subcellular compartments, at different developmental stages, even within the same organelle.


Qican Zhang
Sichuan University, China

Qican Zhang has graduated from Sichuan University in 2005 and received his doctor degree in Optical Engineering and is a professor in the same university now. He is the Associate Editor (AE) of Optics Express, and Steering committee member of Asian Society for Experimental Mechanics (ASEM); Editorial board member of Optic and Laser in Engineering. He is a senior member of Chinese Optical Society (COS), member of the Optical Society of America (OSA), Optics & Photonics Society of Singapore (OPSS) and International Society for Optical Engineering (SPIE).

His research interesting includes three-dimensional (3D) optical sensing and optical information processing. In past over 20 years, he dedicates himself on researching 3D shape measuring technology for dynamic process (objects). He has carried out some representative experimental researches on some dynamic processes with different speed, and developed a whole system to digitize and visualize the 3D shape and deformation of the tested dynamic objects.

Speech title: 3D shape measurement and deformation analysis based on fringe projection

Abstract: Three-dimensional (3D) shape measurement for a dynamic object or scenes, whose height distributions is varying with the time, has been a hot topic in recent years due to its wide field of application. A dynamic 3D shape measurements based on 2D grating pattern projection, phase-shifting analysis and Fast Fourier fringe analysis has been presented and in-depth studied in author’s research group. The basic concept of 3D shape measurement and deformation analysis technique based on fringe projection and its typical applications, which attracts our attentions and research efforts in past over twenty years, have been also targeted as main objective to review in this report.


Qionghua Wang
Beihang University, China

Qiong-Hua Wang is a professor of optics at the School of Instrumentation and Optoelectronic Engineering, Beihang University. She was a professor at Sichuan University from 2004 to 2018. She was a post-doctoral research fellow at the School of Optics/CREOL at the University of Central Florida from 2001 to 2004. She worked at the University of Electronic Science and Technology of China (UESTC) from 1995 to 2001. She received B. S., M. S. and Ph. D. degrees from UESTC in 1992, 1995 and 2001, respectively. She published more than 300 papers cited by science citation index and authored 3 books. She holds 5 U. S. patents and more than 150 Chinese patents. She is a Fellow of the Society for Information Display. Her research interests include display and imaging technologies.

Speech title: Continuous optical zoom microscope with extended depth of field and 3D reconstruction

Abstract: Microscope such as fluorescence microscope, confocal microscope and two-photon microscope plays an important role in life science, laser processing and other fields. However, most of the microscope only has discrete zoom rates. A continuous optical zoom microscope with extended depth of field and 3D reconstruction is demonstrated. It consists of a zoom objective lens, a microscope holder, an adjustable three-dimensional object stage, an Abbe condenser and an LED light source. The zoom objective lens is composed with several liquid lenses and solid lenses. By adjusting the applied voltage to the liquid lens, the proposed microscope can achieve a large continuous magnification from 10× to 60×. Moreover, an improved shape from focus (SFF) algorithm and image fusion algorithm are designed for 3D reproduction. Based on the liquid lens, the axial focusing position can be adjusted to obtain images with different depths, and then the extended depth of field and 3D reconstruction can be realized. The experimental results demonstrate the feasibility of the proposed microscope. The proposed microscope is expected to be applied in the fields of pathological diagnosis, biological detection, etc.


Song Zhang
Purdue University, USA

Song Zhang is a Professor and the Assistant Head for Experiential Learning in School of Mechanical Engineering at Purdue University. He received his Ph.D. degree in mechanical engineering from Stony Brook University in 2005. His work has been cited over 14,000 times with an h-index of 61. Besides being utilized in academia, technologies developed by his team have been used by Radiohead (a rock band) to create a music video House of Cards; and by the law enforcement personnel to document crime scenes. His work has been recognized by winning a few best paper awards, the NSF CAREER award, the Stony Brook University’s “40 under 40 Alumni Award”, and the College of Engineering Early Career Faculty Research Excellence Awards from both Iowa State and Purdue. He was selected as the fellow of the Big-Ten Academic Alliance-Academic Leadership Program (2021-2022). He is the Purdue University Faculty Scholar, and a Fellow of OSA and SPIE.

Speech title: High-speed 3D structured light imaging and applications

Abstract: Advances in optical imaging and machine/computer vision could have profound impact on biomedical engineering. My research addresses the challenges in high-speed, high-resolution 3D imaging and optical information processing. My current research focuses on achieving speed breakthroughs by developing the binary defocusing techniques; effectively storing enormously large 3D data by innovating geometry/video compression methods; and automating structured light 3D microscopic imaging techniques using the recently developed electrically tunable lens (ETL). The binary defocusing methods coincide with the inherent operation mechanism of the digital-light-processing (DLP) technology, permitting tens of kHz 3D imaging speed at camera pixel spatial resolution. The novel methods of converting 3D data to regular 2D counterparts offer us the opportunity to leverage mature 2D data compression platform, achieving extremely high compression ratios without reinventing the whole data compression infrastructure. The electronically controllability of ETL lens shows promise for large Field of View (FOV) 3D imaging automation. In this talk, I will present our recent work in these areas and discuss some of the applications that we have been exploring including biomedical engineering, forensic sciences, along with others.


Tao Li
Nanjing University, China

Tao LI, Professor of Nanjing University (NJU), received his PhD degree at NJU in 2005, joined NJU as a faculty in 2008. He worked as a visiting scholar in Nanyang Technology University, Singapore, in 2012, and Hong Kong Baptist University under the support of “K.C. Wong Education Foundation” scholarship in 2013. He was selected as the "Dengfeng Talent Program B" from NJU, won the "National Funds for Outstanding Young Scientists" and "Young and middle-aged leading scientists" from MOST. His research interest is about the metamaterials, plasmonics, and photonic integration. Till now, he has published >110 papers with citation over 5500 and a recent H index of 38, presented >50 invited talks in international conferences and seminars.

Speech title: Metalens array for highly compact wide-field microscope and wide-angle camera

Abstract: Metalens as an ultrathin and ultralight optical design, holds potential possibilities to revolutionize the current optical devices and related technology. In this talk, we firstly demonstrate a metalens array based wide-field microscopy, by which we provide feasible solutions to circumvent the long-standing constraints in high resolution and large depth-of-field (DOF) and field-of-view (FOV) in conventional microscope. Next, we designed a metalens array composed camera for wide angle imaging, of which each lens responsible for a certain range of angle-viewing, then a high quality stitched wide-angle image can be obtained. As result, we successfully show a wide-angle image with FOV>120 degree in 470nm wavelength. In summary, the metalens array has demonstrated unique advantages that promises intriguing applications in the future.


Xiaodi Tan
Fujian Normal University, China

Dr. Xiaodi Tan, graduated from the Optical Department of Shandong University in 1984, he obtained a Master’s Degree from the Optical Engineering Department of the Beijing Institute of Technology. His Doctoral thesis on "Optical Secure Holographic Storage Systems" was completed at The University of Tokyo, Institute of Industrial Science, in the Laboratory of Kuroda-Shimura in 2001. He was a Senior Engineer of the Technology Division in OPTWARE Corporation, researching and developing the next generation of optical data storage systems. And he was a Senior Technology Analyst, Distinguished Engineer and Optical Technology Manager of Core Device Development Group in Sony Corporation. During 2012 to 2017, he was a professor at the School of Optoelectronics in Beijing Institute of Technology. He is currently a professor at the College of Photonic & Electric Engineering in Fujian Normal University. His research interests are in information optics & photonics: holographic storage, optical information display, optical devices, etc.

Speech title: Polarization Holography using Linear Light and its Characteristics

Abstract: Polarization holography is a newly researched field, that has gained traction with the development of tensor theory. It primarily focuses on the interaction between polarization waves and photosensitive materials. The extraordinary capabilities in modulating the amplitude, phase, and polarization of light have resulted in several new applications, such as holographic storage technology, multichannel polarization multiplexing, vector beams, and optical functional devices. In this paper, fundamental research on polarization holography with linear polarized light, a component of the theory of polarization holography, has been reviewed. Primarily, the effect of various polarization changes on the linear and nonlinear polarization characteristics of reconstructed light wave under continuous exposure and during holographic recording and reconstruction have been focused upon. The polarization modulation realized using these polarization characteristics exhibits unusual functionalities, rendering polarization holography as an attractive research topic in many fields of applications. This paper aims to provide readers with new insights and broaden the applications of polarization holography in more scientific and technological research fields.


Xiaopeng Shao
Xidian University, China

Prof. Shao is now a professor and doctoral supervisor of Xidian University. He is also serving the editorial board of Optics and Precision Engineering, Laser & Optoelectronics Progress, Acta Photonica Sinica, etc. He is now vice director of Shaanxi Optical Society and Xi'an Laser & Infrared Society.The main research experiences involve computational imaging technology including scattering imaging, Imaging beyond diffraction limit, super-resolution imaging and polarized imaging; image processing and pattern recognition including industral photoelectric imaging application, remote sensing image processing and hyperspectral image processing; photoelectric instrument development including precision photoelectric testing, imaging device testing and instrument development.

Speech title: The Soul of Computational Imaging

Abstract: Traditional photoelectric imaging technology was developed in the industrial age and plays an important role in many detection and measurement applications. However, it is difficult for traditional imaging technologies to achieve further detection distances and higher resolution. Computational imaging technology (CIT) integrates optics, mathematics, and information technology, breaking through the limits of physical information through optical encoding and decoding. CIT changes the traditional linear optical information transmission theory, makes full use of information channels, and improves information dimension.

On the basis of traditional geometric optics, computational imaging organically integrates physical optical information, such as polarization, phase, orbital angular momentum and other physical quantities to interpreting the light field information. It can be said that the soul of computational imaging is the acquisition and interpretation of the light field. Specifically, computational imaging technology uses partial physical light field projection information to interpret complete light field information. Though modulating and interpreting of imaging illumination, imaging media, imaging system and imaging detector, it can achieve breakthroughs in the field of bad weather imaging, long distance imaging, three-dimensional imaging, and so on. For now, some achievements have been made in the fields of scattering imaging, polarization imaging, and computational optical systems. It is an important direction of computational imaging to analyze the relationship between various dimensions in the plenoptic field, and find the optimal projection dimension of specific imaging application.


Xinzhu Sang
Beijing University of Posts and Telecommmunications, China

Xinzhu Sang is a full professor of the State Key Laboratory of Information Photonics and Optical Communications at Beijing University of Posts and Telecommunications. His current research interests include three-dimensional light-field display, holography and novel photonic devices. He has published more than 280 pre-reviewed research papers in scientific journals, and holds 87 patents.

He is the deputy director and the secretary-general of the committee of Holography and Optical information Processing, Chinese Optical Society, a vice director of VR/AR division of Chinese Institute of Electronics. In 2011, he was selected for the Program for New Century Excellent Talents in University, Beijing Nova Program of Science and Technology. He was awarded as "Beijing Outstanding Teacher" prize in 2017. He won the First Prize of Beijing Science and Technology Progress Award in 2021 and the Second Prize of Technological Invention of the Ministry of Education in 2019.

Speech title: Three-dimensional Light-field Displays for Group Viewers

Abstract: The basic principle and realization methods of 3D light-field display are discussed. In principle dense-viewpoint images can produce light fields that approximate the light from a real object for the observer with natural perspective change and stereoscopic perception. To address the issues of classical glasses-free 3D displays in low resolution, inconsistency in accommodation and convergence and limited display size, glasses-free large-size three-dimensional (3D) light filed displays for group viewers with the large viewing angle demonstrated at Beijing University of Posts and Telecommunications are presented. The optimally designed holographic functional screen is used to re-modulate the light distribution from the lens-array, and only the clear 3D light field image is perceived without seeing the lens array. The floating full-parallax 3D light-field image with clear displayed depth of 30 cm can be perceived with the right geometric occlusion and smooth parallax in the viewing angle of 72°, where 96 ×96 views are used to generate the coded light-field image. The real-time interactive full-parallax 3D light-field display with the frame rate of 30 fps is realized. 162 inch LED and the holographic functional screen based 3D light-field display with the continuous viewing angle above 40° and the acceptable resolution is realized. The functions of the holographic functional screen and the complex lens array are resolved and integrated in a thin optical devices, 65 inch 3D light field display with the view angel above 100°and acceptable resolution for eyes is demonstrated. With three groups of directional backlights and a fast-switching LCD panel, a time-multiplexed light field display with a 120-degree wide viewing angle is demonstrated, and the designed holographic functional screen is used to recompose the light distribution and the compound aspheric lens array is optimized to balance the aberrations and improve the 3D display quality. 192 viewpoints are constructed within the viewing range to ensure the right geometric occlusion and smooth parallax motion. Clear 3D images can be perceived at the entire range of viewing angle. 2m×2m 3D light field display with the resolution of 497 million pixels and the viewing angle above 80°is realized. Large-size high-resolution floating 3D display in air remains a challenge. Here, touchable floating 3D image light-field displays in the air are demonstrated. A novel catadioptric retroreflector (CR) floating device in the floating3D light-field system is proposed. The floating 3D light-field image constructed is aberration-suppressed. A telecentric retroreflector (TCRR) is proposed to suppress non-retroreflected light without sacrificing the viewing angle. A contrast transfer function (CTF) is used to evaluate the optical performance of the TCRR. A clear floating high definition 3D image with a floating distance of 60 cm and a viewing angle of 70° is achieved.


Yan Zhang
Capital Normal University, China

Prof. Dr. Yan Zhang, dean of Beijing Key Lab for Metamaterials and Devices. He received his bachelor and master degrees from Harbin Institute of Technology and doctor degree from Institute of Physics, Chinese Academy of Science. He has worked in Yamagata University, Hong Kong Polytechnic University, Stuttgart University, Hong Kong University of Science and Technology, Rensselaer Polytechnic Institute, and University Konstanz. His research interests include terahertz imaging and spectroscopy, surface plasmonic optics, optical information processing. He has published more than 300 prereviewed papers and delivered more than 50 invited talks in the international conferences. He is a fellow of Optica.

Speech title: Terahertz active metasurface devices

Abstract: Terahertz radiation has been proved to have many potential applications in wireless communications, nondestructive detection, and biological imaging. However, the development of functional devices for terahertz is relative slow compared with detectors and sources. Metasurface, a kind of two-dimensional metamaterials, provide a solution for designing terahertz functional devices. By optimally arranging the shape, size, materials, and distribution the subwavelength antennas which compose the metasurface, the device can modulate the amplitude, phase and even polarization of the terahertz wavefront. However, the function of the device is fixed one it is fabricated. In this presentation, several methods to design terahertz active metasurface devices are introduced. The function of active metasurface devices can be switched or programmed. These approaches enrich the technology for terahertz functional devices.


Special Session Keynote Speakers

Baoqing Sun
Shandong University, China

Dr. Baoqing Sun is a proferssor at Shandong University. He recieved his bachaler, master and doctoral degree from Shandong University, Peking University and Glasogw Universtiy respectively. He currently leads a research group about 20 people at Shandong University. His research interests include ghost imaging, single-pixel imaging and computational imaging.

Speech title: 2,000,000 fps Single-pixel 3D Imaging

Abstract: Single-pixel imaging (SPI) can capture 2D images of the target with only a nonpixelated detector, showing promising application potential in nonvisible spectral imaging, low-photon imaging, lidar, and other extreme imaging fields. However, the imaging mechanism of traditional SPI makes it difficult to achieve high imaging speed, whichis a primary barrier for its widespread application. To address this issue, in this work, we propose and demonstratea novel high-speed 2D and 3D imaging scheme based on traditional SPI, termed time-resolved single-pixel imaging (TRSPI). Previous SPI works mainly utilize correlation between a stable target and iterative illuminationmasks to reconstruct a single image. In TRSPI, by further exploiting correlation information between a dynamicscene and every static mask, we can reconstruct a series of time-varying images of the dynamic scene, given thedynamic scene is repetitive or reproducible. Experimentally, we conducted 2D and 3D imaging on a rotatingchopper with a speed of 4800 revolutions per minute (rpm), and imaging speeds up to 2,000,000 fps. It is believed that this technology not only opens up a novel application direction for SPI, but also will provide a powerful solution for high-speed imaging.


Huimin Xie
Tsinghua University, China

Prof. Huimin Xie received Ph. D in Tsinghua university, China in 1992. He is a full professor and the deputy head of the key lab of Applied Mechanics of Ministry of Education of China in Tsinghua University. His research areas are in development of new techniques and applications in solving challenging fundamental and industrial problems in the fields of experimental solid mechanics, nondestructive testing techniques and applied optics. He is the chairman of the 8th Chinese Committee for Experimental Mechanics (2007-2011), the associate technical editor for Experimental Mechanics, editorial board member of the academic journals including Journal of Strain Analysis for Engineering Design, Strain, as well as Theoretical and Applied Mechanics Letters. He has published more than one hundred scientific papers in academic journals and proceedings of international conferences.

Speech title: Progress of Photomechanics in Additive Manufacturing:Opportunities and Challenges

Abstract: Direct laser deposition, a branch of additive manufacturing, is considered as a disruptive technology that shows great potential for repairing high-value components by adding layer-upon-layer of materials, such as aero-engine turbine blade. For the key mechanical characterization and optimization in laser repairing parameters, photomechanic techniques show distinct advantages, however, extreme manufacturing process of laser repairing and the service environment of the repaired components will bring new challenges for the measurement and characterization.

In this presentation, several new photomechanics techniques, including digital image correlation, multi-scale moiré and coherent gradient sensing method, virtual field method, have been developed for analyzing the mechanical behavior of laser repaired components, concerning the distribution of constitutive parameters and the fracture mechanics parameters. Furthermore, in order to monitoring the quality of laser repairing, some new non-destructive evaluation techniques are studied. The initial results show their good potentials for further application.


Ni Chen
King Abdullah University of Science and Technology, Saudi Arabia

Ni Chen received the B.S. degree in software engineering from Harbin Institute of Technology, China, in 2008, the M.S. and Ph.D. degrees in electrical engineering from Chungbuk National University and Seoul National University, Korea, in 2010 and 2014, respectively. She is currently a researcher at the King Abdullah University of Science and Technology. From 2014 to 2016, she was a research scientist with the University of Hong Kong, and from 2016 to 2017, she was an Associate Professor with the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences. From 2018 to 2019, she was a Research Assistant Professor in the Department of Electrical and Computer Engineering at Seoul National University, Seoul, Korea. Her research interests include computational optical imaging and display, particularly with differentiable optics.

Speech title: Computational lensless holographic imaging

Abstract: Holography has been well developed since it was invented, from analog holography to digital holography. Computational holography, which advances digital holography by utilizing cutting-edge computational approaches such as deep learning or optimization. This talk cover two types of computational holography techniques. I will talk over 1) how computational holography leverages physical priors of both imaging system and the targets to achieve higher dimensional lens less holographic imaging; and 2) how differentiable holography is able to fill the mismatch between real imaging system and analytical theories.


Qingchuan Zhang
University of Science and Technology of China, China

Zhang Qingchuan, Professor, University of science and technology of China. He has been engaged in cross fusion research of optical experimental mechanics and materials, biology, medicine, chemistry and other fields for a long time: 1) digital image correlation (DIC, DVC); 2) Micro nano biochemical sensing and cell mechanics testing methods based on mechanical principles; 3) Digital holographic microscopy and holographic optical tweezers; 4) The experiment and mechanism investigation of serrated yield of alloy materials; 5) Research on optical readout infrared imaging technology. Home page of the research group: http://photomech.ustc.edu.cn/

Speech title: Deep learning for complex displacement field measurement

Abstract: Traction force microscopy (TFM) is one of the most successful and broadly-used force probing technologies to quantify the mechanical forces in living cells. The displacement recovery of the fluorescent beads within the gel substrate, which serve as the fiducial markers, is one of the key processes. The traditional methods of extracting beads displacements, such as PTV, PIV, and DIC, persistently suffer from mismatching and loss of high-frequency information while dealing with the complex deformation around the focal adhesions. However, this information is crucial for the further analysis since the cells mainly transmit the force to the extracellular surroundings through focal adhesions. In this paper, we introduced convolutional neural network (CNN) to solve the problem. We have generated the fluorescent images of the non-deformable fluorescent beads and the displacement fields with different spatial complexity to form the training dataset. Considering the special image feature of the fluorescent images and the deformation with high complexity, we have designed a customized network architecture called U-DICNet for the feature extraction and displacement estimation. The numerical simulation and real experiment show that U-DICNet outperforms the traditional methods (PTV, PIV, and DIC). Particularly, the proposed U-DICNet obtains a more reliable result for the analysis of the local complex deformation around the focal adhesions.


Shaopeng Ma
Shanghai Jiaotong University, China

Shaopeng Ma, professor of the Department of Engineering Mechanics, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiaotong University, director of the "Joint Research Center for Flexible Electronic System Reliability" of Shanghai Jiaotong University - Institute of Flexible Electronics Technology of Tsinghua University, Zhejiang, and secretary-general of the Experimental Mechanics Professional Committee of the Chinese Mechanics Society. He has been devoted to the research of advanced videometrics method, instruments and their engineering applications for a long time. The detection methods, techniques and instruments developed by him have been applied to major projects such as large-scale deployable space structures, high temperature gas-cooled reactors and high-tech winter Olympics. He has presided over more than 10 national-level scientific research projects, including the National Major Scientific Instruments and Equipments Development Project, the Key Program of the National Natural Science Foundation of China, and the Key Project of National Defense Science and Technology.

Speech title: High spatial-temporal resolution videometrics method and its application for large structure deformation measurement

Abstract: Nowadays the videometrics method plays an important role in motion and deformation measurements of complex large-scale structures. However, it faces challenges in high-accuracy/high-speed measurement or non-uniform field measurement in a large field of view, which can be solved by improving the performance of image analysis algorithms and image acquisition modules.This study presents some research efforts that address the challenges mentioned above. Firstly, an improved digital image correlation method considering both spatiotemporal continuity constraints and physical constraints is introduced. Secondly, the "optical magnification" effect of CCD moiré and its latest research on high-precision measurement are elaborated. Thirdly, the camera array-based photogrammetry method and system are presented, and the study on multi-camera calibration, synchronous triggering and data fusion is introduced. Finally, several typical applications of these techniques in the fields of aerospace and civil transportation are demonstrated.


Xiaoxu Lu
South China Normal University, China

Prof. Xiaoxu Lu is currently the leader of optical micro-nano imaging research group at South China Normal University. He received his Ph.D. from Tianjin University. His research expertise lies in interferometry, optical phase measurement, digital holography. He has done more than 10 projects supported by NSFC, including Major scientific research instrument project. He has published more than 100 papers in core journals of Optics and Biophotonics field including Optics Letter, Optics Express, Optics and Laser in Engineering, Biomedical Optics Express.

Speech title: A quantitative phase imaging microscope combined both digital holography and differential interference with self-calibration function

Abstract: We propose a quantitative phase imaging microscope combined with digital holography and differential interference with self-calibration function by using liquid crystal variable phase retarder (LCVPR) to realize phase shifting and shearing, in which the quantitative integral phase and differential interference phase can be obtained simultaneously. Based on the orthogonal polarization two-channel interferometric technique realized by using the wave plate to maintain π phase difference between the two interference channels and by using LCVPR one step phase-shifting ( π/2) to obtain four phase-shifting interferograms, the utilization efficiency of light energy, measuring speed rate and accuracy are improved. The differential phase shearing and azimuth are adjusted by LCVPR. The maximum shearing capacity of the image is more than 10 µm, and the shearing resolution is less than 10 nm. By using the short coherent light source, the parasitic interference noise is suppressed, and the signal-to-noise ratio is improved. Based on the two-dimensional grid structure of the target surface of the image sensor, six dimensions of ultra-high precision matching between the sensors is realized by phase measurement method. The matching accuracy of the transverse position and longitudinal distance are less than 0.2 micron and 10 nm, the matching accuracy of the tilt angle and rotation angle are less than 0.005 degrees and 0.0005 degrees, respectively. Both the shearing component without additional phase shifting and the phase shifting component without additional shearing are built, which greatly improve the accuracy and reliability of the shearing and phase shifting. The method and device for online the phase shifting and shearing measurement with high accuracy are obtained, and the accuracy of phase shifting is less than 0.005 rad. Importantly, this digital holography/differential interference microscope (DH/DIM) can be applied for static and dynamic quantitative phase imaging. And in the presence of external disturbance, it can also realize high accuracy phase measurement.


Zhenmao Chen
Xi'an Jiaotong University, China

Zhenmao Chen, Dr.Eng., Professor. He got his Bachler and Master Degree in Xi’an Jiaotong University, Doctor Degree in The University of Tokyo. He is/was associate professor of Keio University, guest professor of Tohoku University and Institute of Plasma Physics of CAS. His is now full professor of School of Aerospace, Xi’an Jiaotong University, and director of Shanxi Engineering Research Center of NDT and Structural Integrity. His major research interest is on electromagnetic NDT, numerical modeling and inverse analysis for NDT problems, research and development of new NDT technology and system. He is/was project leader of over 50 national and international research projects including national ITER Program, NSFC Projects and International Collaboration Projects etc. He authored over 300 technical journal papers (200 SCI indexed, H factor 27) and 6 books. He owns and applied over 80 patents and standards. He is also winner of several international and domestic technical awards, e.g., Miya award, JSM Awards etc. He was ISC chairperson/member of 4 international conferences, subject editor/associate editor/editorial board member of 6 technical journals, board member of 4 international and domestic technical societies. He was chairman and cochairman of 4 international conferences.

Speech title: Studies on the Infrared Thermography Technique for Quantitative Nondestructive Evaluation of Surface Crack and Delamination of Multilayer Structures

Abstract: In this paper, research progress on laser Infrared Thermography (LIT) and Eddy Current Infrared Thermography (ECIT) for quantitative nondestructive inspection and evaluation of surface cracks and delamination of multilayer structures are presented. At first, a laser spot infrared thermography (LSIT) method for inspection of surface cracks in metallic structures is presented. LSIT related measurement and image processing methods for inspection and quantitative evaluation of crack profiles are introduced in detail. Second, LIT technique and numerical analysis methods for detection and sizing of interface cracks of multilayer structures are explained aiming at application to the in-vessel structures of Tokamak fusion reactors, such as the first wall of blacket modules. At last, some results on the quantitative nondestructive evaluation of delamination of thermal barrier coating system of gas turbine blades are given. The numerical methods for forward analysis of heat generation and transfer process, and for inverse analysis of defect size are emphasized in this paper, in addition with the experimental validation of both the numerical methods and the new inspection techniques.


Invited Speakers

Banglei Guan
National University of Defense Technology, China

Banglei Guan is currently an Associate Professor at the College of Aerospace Science and Engineering, National University of Defense Technology. He received the B.S. degree in geomatics engineering from Wuhan University, Wuhan, China, in 2012, and the Ph.D. degree in aeronautical and astronautical science and technology from the National University of Defense Technology, Changsha, China, in 2018. From 2016 to 2017, he was an Exchange Student with the Graz University of Technology, Graz, Austria. His research interests mainly include Videometrics and photogrammetry. He has authored over 30 articles in journals and conferences, such as CVPR, ICCV, ECCV, and IEEE Transactions Cybernetics.

Speech title: Feature Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation

Abstract: Estimating the relative pose of images given feature correspondences is a key problem in Videometrics with camera networks, which plays an important role in optical deformation measurement and 3D reconstruction, and simultaneous localization and mapping. A multi-camera system refers to a system of individual cameras that are rigidly fixed onto a single body, and it can be set in a configuration that maximizes the field-of-view. In order to perform 3D geometric tasks, the accuracy and efficiency of relative pose estimation algorithms are very important for multi-camera systems, and are catching significant research attention these days. Existing solutions to the multi-camera relative pose estimation are either restricted to special cases of motion, have too high computational complexity, or require too many feature correspondences. Thus, these solvers impede an efficient or accurate relative pose estimation when applying RANSAC as a robust estimator. We propose a series of minimal solvers to relative pose estimation for multi-camera systems. Thanks to the additional information besides the point coordinates, the number of feature correspondences needed for relative pose estimation is reduced. Requiring fewer PCs makes RANSAC-like randomized robust estimation significantly faster. Experiments on both virtual and real multi-camera systems prove that our solvers are more efficient than the state-of-the-art algorithms, while resulting in a better relative pose accuracy.


Beiwen Li
Iowa State University, USA

Dr. Beiwen Li is a William and Virginia Binger Assistant Professor of Mechanical Engineering and the director of High-dimensional Optical Sensing Laboratory at Iowa State University. He received his Ph.D. degree in Mechanical Engineering from Purdue University in 2017. His research focuses on superfast kilohertz 3D optical sensing, precision 3D optical metrology, 3D point cloud data analysis and in-situ monitoring for additive manufacturing. Several of his research works have been highlighted on the cover page of prestigious journals including Optics Express, Applied Optics and Geotechnique Letters. He was the recipient of 2020 SPIE Defense & Commercial Sensing Rising Researcher Award and got named as a 2021 Emerging Leader by Measurement Science and Technology Journal.

Speech title: 3D optical sensing for manfacturing and remanufacturing applications

Abstract: The recent advances of 3D optical sensing have realized an unprecedented combination of kilohertz measurement speeds and tens of micrometer accuracies. However, multiple challenges are still present before it will be widely adopted in industrial practices. This talk will focus on our recent research advancements in 3D optical sensing as well as its applications in in-situ monitoring, process visualizations, and surface characterizations in manufacturing and remanufacturing processes.


Caojin Yuan
Nanjing Normal University, China

Dr. Caojin Yuan received her Ph.D in Optical engineering from Nankai University in 2008. She is a professor in the school of Physics and Technology at Nanjing Normal University.  She serves as chair of Optoelectronic information Science and Engineering Department. Her current research interests include: quantitative phase imaging and optical information encryption, which are supported by NSFC.

Speech title: Digital holographic microscopy under structured illumination

Abstract: Structured illumination (SI) microscopy is one of superresolution imaging method. By introducing the structured illumination into digital holography(DH), the resolution of reconstructed amplitude-contrast and the phase-contrast images can be improved. In the presentation, we will introduce DH-SI recording system which is free of phase shifting. The reconstruction algorithm with help of deep learning will be presented. It can be found the resolution improved in the quantitative imaging results.


Cheng Liu
Shanghai Institute of Optics and Fine Mechanics, China

Cheng LIU, professor of Shanghai institute of optics and fine mechanics, Chinese adademy of sciences, in past ten years his main research is on how to realize online diagnoistic on the high power laser beam of ICF facility.

Speech title: Application of coherent diffraction imaging in inertial confinement fusion

Abstract: Laser pulses with energy higher than 1MJ incident on target material symmetrically can cause nuclear fusion by compressing two Hydrogen atoms in to one Helium atom, and this is one hopeful approach to realize controllable nuclear fusion called inertial confinement fusion(ICF). The target is only about 10um in diameter, to focus laser beams with diameter larger than 500mm, pulse duration of 10ns and energy about 1 million Joules on this target exactly, their wave-front should be accurately designed and fully controlled. However, because of specialties of high power laser facility common technique including interferometry and Hartmann sensing can’t be applied to detect its wave front, and the lack of proper instrument for online inspection is a long time technical problem for ICF. To solve this problem, several coherent diffraction imaging methods have been adopted and have get big successes in both online and offline detections.


Chenxing Wang
Southeast University, China

Dr. Wang Chenxing is now an associate professor in Southeast University. She received her Ph.D. degree from Southeast University in 2013, and was a research fellow at Nanyang Technological University in Singapore from 2014 to 2016. Her research interests include optical measurement, advanced signal processing, 3D detection, precision engineering and automation.

Speech title: 3D imaging with single frame

Abstract: 3D imaging is critical for most of artificial intelligent applications. To describe the depth without ambiguity, multi frames are required, however, to implement with single-frame input is always expected in reality. Recently, we research and explore some algorithms and systems for imaging various targets including general objects, human bodies and scenes. Each work maintains taking single frame as input. In this talk, these works will be introduced and analyzed in detail to discuss and explore what and how can we take use of for single-frame 3D imaging.


Chengliang Zhao
Soochow University, China

Professor Chengliang Zhao received Ph.D. degrees in Optics from Zhejiang University, China, in 2009. He is the cofounder of the Laboratory of Light Manipulation of Soochow University. From August 2013 to August 2015 and from August 2017 to August 2018, he was working as ‘guest’ government employee in Suzhou New District and in Department of Science, Technology and Informatization of Ministry of Education of the People’s Republic of China. From 2015 to 2016, he was a visiting scholar in Delft University of Technology, the Netherlands. He is now the deputy dean of School of Physical Science and Technology, Soochow University. His interests include light modulation, coherent optics, diffraction imaging, phase retrieval and optical tweezers, etc. He has already authored more than 100 journal papers and 8 patents.

Speech title: Partially coherent diffraction imaging and its applications

Abstract: Coherent diffraction imaging plays an extremely important role in the fields of materials science, biomedicine, astronomy and so on. Improving temporal and spatial resolution, signal-to-noise ratio, field of view, etc. are the goals of the development, which has been realized by optimizing wavelength, structured light illumination and algorithm itself. However, the theories of these existing technologies are originally based on the coherent light source, and the light sources such as X-ray and free electron beam which are commonly used for coherent diffraction imaging, are actually partially coherent light due to the generation mechanism. Previous researches have shown that when the coherence of the light source is degraded, if the method or algorithm is not modified, the reconstruction results will be blurred, disordered, completely wrong or unable to converge. In this talk, based on the theory of partial coherence, we proposed three non-iterative phase retrieval techniques under partially coherent light illumination, including self-reference holographic technology, pinhole array mask technology and through-focus scanning technology. All three methods can achieve accurate and fast phase retrieval through non-iterative means under partially coherent illumination, or even partially coherent light with complex and unknown coherent structures. The above-mentioned partially coherent diffraction imaging algorithm based on the partial coherence theory can also be used for the measurement of complex wave-front, including the phase distribution of coherent light and the distribution of the 4D cross spectral density of partially coherent light.


Dongliang Zheng
Nanjing University of Science and Technology, China

Dongliang Zheng received the Ph.D. degree in pattern recognition and intelligent system from Southeast University, Virtual, in 2013. He is currently an associate Professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Virtual. His research interests include machine vision and optical metrology.

Speech title: Spatial pattern-shifting method for complete fringe projection profilometry

Abstract: Two-wavelength fringe projection profilometry (FPP) unwraps a phase with the unambiguous phase range (UPR) of the least common multiple (LCM) of the two wavelengths. It is accurate, convenient, and robust, and thus plays an important role in shape measurement. However, when two non-coprime wavelengths are used, only a small UPR can be generated, and the unwrapping performance is compromised. We propose a spatial pattern-shifting method (SPSM) to generate the maximum UPR (i.e., the product of the two wavelengths) from two non-coprime wavelengths. The SPSM breaks the constraint of wavelength selection and enables a complete (i.e., either coprime or non-coprime) two-wavelength FPP. It is interesting to find that the SPSM also can be applied for one- and three-wavelength FPP. The SPSM, on the other hand, only requires spatially shift of the low-frequency pattern with the designed amounts and accordingly adjusting the fringe order determination, which is extremely convenient in implementation.


Dongsheng Zhang
Shanghai University, China

Dongsheng Zhang received the Ph.D. degree from Tianjin University, Tianjin China, in 1993. He has become a full professor in School of Mechanics and Engineering Science, Shanghai University, Shanghai, China since 2003. He is now the director of the center of experimental mechanics, Shanghai University. His research interests include advances in speckle interferometry, digital image correlation, photoelasticity, and thermography.

Speech title: Optimal Sequential Length Selection in Long Pulse Thermography

Abstract: Long pulse thermography (LPT) is a full-field, contactless technique that has been widely used for nondestructive evaluation of composite materials. The delay of appearance in maximum phase differences in the Fourier domain causes low-contrast images with fuzzy defect edges, which is a major limitation in applications. In this study, a sequential image processing scheme, has been proposed for visualizing defects with sharp and clear edges. An image sequence was recorded with an infrared camera after the long pulse excitation. The Fourier phase is extracted from multiple phase images resulted from using distinct sequence length. An image fusion scheme is conducted to reconstruct an all-in-one image. Experiments have been conducted in identifying defects in the glass fiber reinforced polymer (GFRP) and carbon fiber reinforced polymer (CFRP). The results show that this method is effective in improving the image quality in non-destructive evaluation.


Dan Wu
Ningbo Univeristy, China

Wu Dan received her bachelor's degree in engineering from Southeast University in 2010 and her doctorate degree from Tsinghua University in 2016. She is working in Ningbo University now as an assistant professor. Her interests mainly focus on optical full-field measurement at micro-scale by grating/moiré methods applied at the properties characterization of thin films. Recently, her group has made some achievements in infrared nondestructive testing and published corresponding articles. Please see "Optics and Lasers in Engineering, 151, 2022, 106927" and "Optics Express, 2022, 30(6): 9119-9136" for the detailed information.

Speech title: Theory and application of the micro-scale grating/moiré method

Abstract: This paper mainly introduces some of our research progress in microscale grating/moiré method for the 2D/3D measurement in the past few years. Firstly, the theoretical basis of the microscale grating/moiré method is introduced. Secondly, several fabrication methods of deformation carrier - grating at micro scale are introduced. Then, the applications of the micro/scale grating/moiré method are introduced. Finally, the prospect of the micro/nano grating/moiré method in mechanical characterization of MEMs are discussed.


Fei Su
Beihang University, China

Dr. Su has long been engaged in the research of photomechanical methods and their applications in the reliability evaluation and failure analysis of electronic packaging. He has presided over four NSFC projects and two 973 sub projects in this field, and has done relevant projects for many well-known semiconductor enterprises at home and abroad.

Speech title: Nondestructive stress measurement of Silicon chip/MEMS with infrared photoelastic method

Abstract: This report introduces the principle of infrared photoelastic method and a variety of test systems, and introduces the typical application of this method in the measurement of silicon wafer bonding quality, internal residual stress of chips and MEMS devices. Among them, the real-time measurement of TSV stress during thermal cycling provides an experimental basis for the theory of TSV interfacial sliding.


Fucai Zhang
Southern University of Science and Technology, China

Dr. Fucai Zhang is currently an associate professor at Southern University of Science and Technology (SUSTech), China. He received his Ph.D. degree in Electronic and Information Engineering from Gunma University, Japan, in 2004, M.S. Degree in electrical engineering and B. E. degree in telecommunication engineering from North China Electric Power University, China, in 1998 and 1994. Before joining SUSTech, he was a senior researcher in the London Centre of Nanotechnology, University College London (UCL) (2012-2017) and research associate in the Dept. Electric and Electronic Engineering, University of Sheffield (2007-2012), UK. His research interests include computational imaging, coherent diffraction imaging and holography, etc.

Speech title: Wavefront modulation based coherent diffraction imaging methods

Abstract: With the construction and planning of the fourth-generation X-ray synchrotron facility and free electron laser in China, the need for developing new high-performance imaging technology is in urgent demand. Plane-wave coherent diffraction imaging shows good performance for imaging isolated samples and ptychography has been developed into a mainstream technique. For them, the intensity data are mostly obtained in the far field of the sample, and the sample exit wave and the light field at the detector are related by Fourier transform; Our recent studies show that changing the mathematical dependence between the data and the sample exit wave is an important factor in improving the performance of phasing algorithm. Some recent advances in coherent modulation imaging work and its combination with ptychography will be presented.


Fengchao Lang
Inner Mongolia University of Technology, China

Prof Fengchao Lang, Department of Applied Mechanics, College of Science,Inner Mongolia University of Technology. Research Interests: Experimental mechanics of Micro-nanostructured materials, mechanics of Composite materials. Papers: Optics and Lasers in Engineering, Experimental Mechanics, Composite Structures.

Speech title: Fabrication and application of ultra-fine cross-gratings

Abstract: The resolution of the electron beam moiré method depends on the line frequency of the grating. Recently, more and more effort has been devoted to increase the frequency, and a novel method for producing high-resolution electron beam gratings is presented in this work. Cross-gratings with a frequency up to 14,832 lines/mm (67 nm pitch) were successfully fabricated using a common scanning electron microscope without a dedicated pattern generation system. The quality of the grating was high enough to produce high-quality moiré fringe patterns. Firstly, a cross‐grating with a pitch of 138 nm was fabricated on the surface of composite material by above method. Combining the matrix crack method with the geometric phase analysis (GPA) method, the interface residual stresses in carbon‐fiber‐reinforced polymers were measured at nanoscale. The residual stresses around fibers located in the 90°, 45°, and 0° fiber layers were released through the matrix crack method using a Berkovich nanoindenter. The released residual stresses led to a change in the pitch of the grating and the corresponding residual strains were obtained by the GPA method. Secondly, a grid with a frequency of 1200 lines/mm was fabricated on the surface of stainless-steel specimen. The microscopic deformation field formed on the substrate surface, induced by the impact of micro-particles with a diameter of 18 µm was determined using the electron moiré method and numerical simulations.


Haigang Ma
Nanjing University of Science and Technology, China

Dr. Haigang Ma has been engaged in the research of photoacoustic imaging technology and its application, and has accumulated rich research and development experience and theoretical basis in the principle and method of photoacoustic imaging, clinical application and instrument transformation. In the past five years, he has published nearly 20 papers on photoacoustic imaging system, detection method and application research in opt-Lett., Appl. Phys. Lett., Biomed. Opt. express and other international authoritative journals. More than 15 national invention patents related to photoacoustic technology have been obtained. In addition, he has made pioneering research achievements in photoacoustic/ultrasonic microscopic imaging technology, photoacoustic multimodal imaging technology and its application. At the same time, the applicant actively participated in promoting the instrumenting of photoacoustic imaging technology, developed the photoacoustic skin micrograph for high resolution optical imaging of human skin structure, which is the first photoacoustic imaging instrument applied in clinical testing in China. It has passed the type test of Guangzhou Medical Instrument Testing Institute, and completed the double-center clinical safety and effectiveness test. In 2017, it was recognized as the first photoacoustic imaging innovative medical device by the State Food and Drug Administration, and in 2020, it was the first Class II photoacoustic imaging medical device registration certificate in the world.

Speech title: Multiscale confocal photoacoustic microscopy to evaluate skin

Abstract: Photoacoustic microscopy (PAM) that can provide a range of functional and morphologic information for clinical assessment and diagnosis of dermatological conditions. However, most PAM setups are unsuitable for clinical dermatology because their single-scale mode and narrow frequency band result in insufficient imaging depth or poor spatiotemporal resolution when visualizing the internal texture of the skin. We developed a multiscale confocal photoacoustic dermoscopy (MC-PAM) with a multifunction opto-sono objective that could achieve high quality dermatological imaging. Using the objective to coordinate the spatial resolution and penetration depth, the MC-PAM was used to visualize pathophysiological biomarkers and vascular morphology from the epidermis to the dermis, which enabled us to quantify skin abnormalities without using exogenous contrast agents for human skin.


Hao Yan
Shanghai Jiao Tong University, China

"Yan Hao is an associate professor and PhD supervisor at Shanghai Jiao Tong University. She received her bachelor and master degrees from Tianjin University and her PhD from Nanyang Technological University in Singapore. She has hosted two NSFC projects, one Shanghai NSF project, and so on. She participated in the national key research and development project and developed high-precision deformation measuring instruments. So far, she has published more than 50 papers and 8 patents."

Speech title: 3D shape and deformation measurement based on holography and its application

Abstract: Digital holography is a technique to obtain the complex wavefront (including the amplitude and phase of the light wave). With the help of laser, digital camera, numerical reconstruction, image processing algorithm, computer parallel acceleration and other technologies, digital holography can quickly obtain quantified complex wavefront. The complex wavefront is capable to focus digitally at any spatial depth without moving the sample or any optical element, which is an important advantage of digital holography technology. This talk introduces the research and progress of our team based on digital holography in dynamic full-field 3D shape measurement, deformation measurement, vibration measurement, gear parameter evaluation, full-field standard deformer development, automatic focusing over depth of field, integrated system development and other aspects. We hope to communicate with researchers in this domain and improve the technical level and application range of digital holography.


Jiasong Sun
Nanjing University of Science and Technology China

Jiasong Sun, associate professor in optical engineering at Nanjing University of Technology. At present, he has carried out several works in the Smart Computing Imaging laboratory at Nanjing University of Technology in the fields of computational microscopy, quantitative phase imaging, and super-resolution microscopy.

Speech title: Dynamic long-term quantitative phase imaging of living cells based on Fourier ptychographic microscopy

Abstract: Traditional optical microscopy is often limited by the irreconcilable contradiction between spatial resolution and imaging field of view (FOV). Therefore, high-throughput microscopy is still one of the goals which are constantly pursued in optical microscopy area recently. At the same time, quantitative phase imaging has become one of the most ideal label-free microscopy techniques because of its ability to accurately quantify the phase information of samples. In order to achieve both high-throughput and long-time dynamic quantitative phase recovery, computational optical microscopy technology represented by Fourier ptychographic microscopy (FPM) has brought a lot of new theories into the traditional microscopy area. It breaks through the inherent limitations of traditional optical systems and image acquisition devices, and gives revolutionary advantages that are difficult to obtain with traditional optical imaging. To further promote the application of high-throughput quantitative phase imaging in biomedical and life science fields, we have conducted a series of work on FPM technology and derived the phase transfer function of FPM system as well as the optimal annular illumination mode. The phase transfer function ensures the accuracy of FPM in recovering low-frequency phases, while the optimal annular illumination mode improves the imaging speed, enabling the single-shot phase imaging. In addition, in order to address the problem of phase reconstruction accuracy degradation due to variable aberrations caused by systemic instability in long-term observation of living cells, we also propose an FPM recovery algorithm with adaptive aberration correction capability. The experimental results show that this method can satisfy the requirement of long-term dynamic observation of living cells in biomedical and life science fields. Besides, it could be extended to 3D diffraction microscopy to achieve higher robustness and higher 3D microscopic resolution.


Jianguo Zhu
Jiangsu University, China

Dr. Jianguo Zhu is a full professor in Institute of Structural Health Management at Jiangsu University, China. His main research interests are in the field of advanced optical techniques and their applications in experimental mechanics, especially the digital image correlation techniques for surface/internal deformation measurement of solid materials and structures, as well as nondestructive evaluation with infrared thermography for characterizing health status of composite materials and structures. He received his Ph.D degree in Mechanical Engineering from Tsinghua University in 2013. After his Ph.D study he worked as a visiting scholar at the MIT, USA. Thereafter he worked as head of Department of Mechanics and Engineering Science in Jiangsu University. Subsequently he is in charge of the Institute of Structural Health Management.

Speech title: Nondestructive Evaluation with Infrared Thermography and its Applications on Thermal Barrier Coatings

Abstract: Non-destructive detection of coating thickness and interfacial defect is important after coating deposition and during service. The present work is to establish a measurement method for fast inspection, large area detection of coating thickness and subsurface defect size with an active thermography. The coating thickness is quantitatively evaluated by recording the temperature decay curve in the cooling stage and computing the time at the minimum of its 2nd derivative. Then, the size of a subsurface defect is estimated by an inversion of temperature images, to overcome the information loss during heat diffusion, which induces undesirable blurring of defect shapes. We assume a space- and time-dependent virtual heat flux on the defect surface, which is reconstructed from surface temperature measurements by solving a two-dimensional inverse heat conduction problem. The proposed methods are experimentally validated by measuring the thickness of an uneven coating specimen and the width of flat bottom holes with different depth. The results verify that the proposed method brings an improvement in accuracy and an efficient suppression of measurement noises, especially for thin coatings and defects with low width-to-depth ratios.


Jun Ma
Nanjing University of Science and Technology China

Professor Jun Ma received his PhD from Nanjing University of Science and Technology in 2011, and subsequently worked at the same university since then. His research interest lies in the optical interferometry, optical design and imaging optics. Currently, he is a Changjiang Junior Scholar awarded by Ministry of Education of China.

Speech title: Interferometric absolute test based on manipulation of the light source

Abstract: Traditional optical microscopy is often limited by the irreconcilable contradiction between spatial resolution and imaging field of view (FOV). Therefore, high-throughput microscopy is still one of the goals which are constantly pursued in optical microscopy area recently. At the same time, quantitative phase imaging has become one of the most ideal label-free microscopy techniques because of its ability to accurately quantify the phase information of samples. In order to achieve both high-throughput and long-time dynamic quantitative phase recovery, computational optical microscopy technology represented by Fourier ptychographic microscopy (FPM) has brought a lot of new theories into the traditional microscopy area. It breaks through the inherent limitations of traditional optical systems and image acquisition devices, and gives revolutionary advantages that are difficult to obtain with traditional optical imaging. To further promote the application of high-throughput quantitative phase imaging in biomedical and life science fields, we have conducted a series of work on FPM technology and derived the phase transfer function of FPM system as well as the optimal annular illumination mode. The phase transfer function ensures the accuracy of FPM in recovering low-frequency phases, while the optimal annular illumination mode improves the imaging speed, enabling the single-shot phase imaging. In addition, in order to address the problem of phase reconstruction accuracy degradation due to variable aberrations caused by systemic instability in long-term observation of living cells, we also propose an FPM recovery algorithm with adaptive aberration correction capability. The experimental results show that this method can satisfy the requirement of long-term dynamic observation of living cells in biomedical and life science fields. Besides, it could be extended to 3D diffraction microscopy to achieve higher robustness and higher 3D microscopic resolution.


Junwei Min
Xi’an Institute of Optics and Precision Mechanics, China

Dr. Min Junwei, associate researcher in the State Key Laboratory of Transient Optics and Photonics (SKLTOP), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences. He received his Ph. D in Physics from the University of Chinese Academy of Sciences in 2014. His research interests include digital holography, interferometry and label-free three-dimensional microscopic imaging. During the study visit in Biomedical Technology Center, University of Muenster, Germany, he combined compact off-axis digital holographic microscopy (DHM) with a common flow cytometry (FCM) to quantitative imaging ang investigating the biophysical cellular features of distinct living cells in flow. He is author and co-author of more than 50 publications and peer reviewed scientific journals.Member of Holography and Optical Information Processing Committee, Chinese Optical Society.

Speech title: Quantitative phase imaging with orthogonal polarization multiplexing shearing interferometry

Abstract: Quantitative phase imaging (QPI) has emerged as a powerful method for label-free, wide-field and non-destructive topography and even measuring the intrinsic structure of the sample. Until now, many kinds of QPI methods have been developed, i.e. interferometry, digital holography, wavefront sensing, phase retrieval and so on. Among them, quadriwave lateral shearing interferometry (QLSI) is one of the valuable approaches benefiting from its referenceless architecture and high temporal resolution. However, there is a spatial resolution loss due to the under sampling and sideband cropping in Fourier space during image reconstruction. In order to improve the performance of the QLSI, we proposed an orthogonal polarization multiplexing two dimensional shearing interferometry. By using a self-designed polarization optical diffraction element, the single object beam can be divided into four copies, two of the diffraction beams in horizontal polarization and the other two are in vertical polarization. With a single shot record, one can get a mesh-like interferogram consisting of two orthogonal sets of shearing fringes, whose spectrum contains fewer disturbance orders. Thus, more high-frequency information can be utilized to achieve higher spatial resolution image. The feasibility and capability of the proposed method are demonstrated experimentally.


Kebin Shi
Peking University, China

Dr. Kebin Shi received his Bachelor's and Master’s degree from Nankai University in 1998 and 2001 respectively. He received his Ph.D degree in Electrical Engineering at the Pennsylvania State University in 2007. Dr. Shi joined faculty members at Peking University in the Institute of Modern Optics in May 2011. His research focuses on developing novel photonic systems and devices based on ultrafast/nonlinear optical principles for spectroscopy, imaging and applications. His recent research interests include super-resolution imaging, nonlinear holography and femto-second frequency comb metrology. He currently serves as a co-chair of conference committee for Ultrafast Imaging and Spectroscopy Conference at SPIE Optics + Photonics meeting. In 2013, Dr. Shi was awarded “National Natural Science Funds for Excellent Young Scholar” by National Natural Science Foundation of China (NNSFC). He has authored or coauthored more than 100 refereed journal papers with over 1900 citations (h-index: 26), and has delivered over 50 invited talks/seminars in international or domestic conferences/universities. His scientific achievements also include 13 granted patents.

Speech title: Single objective light sheet imaging by using axial-to-lateral signal mapping

Abstract: Conventional light sheet fluorescence microscopy (LSFM) utilizes two perpendicularly arranged objective lenses for optical excitation and detection respectively. Such a configuration often limits the use of high-numerical-aperture (NA) objectives or requires specially designed long-working-distance objectives. In this talk, we will discuss a LSFM scheme by using axial-to-lateral signal mapping of fluorescent imaging system based on a micro mirror array (MMA), to enable light sheet imaging with a single objective lens. The planar fluorescent emission excited by the light sheet illumination is collected by the same objective, relayed onto an MMA and detected by a side-view camera. The proposed scheme makes LSFM compatible to single objective imaging system and shows promising candidacy for high spatiotemporal imaging.


Katia Genovese
University of Basilicata, Italy

Received M.Sc. magna cum laude in Mechanical Engineering at Polytechnic of Bari, Italy, and Ph.D. in Experimental Mechanics at University ‘Federico II’ in Naples (2002). Worked as researcher at Laser Research Centre, Bari, Italy (1998) and as visiting scholar at Nottingham University, UK (1999), Union College, NY, USA (2005), Centro de Investigacíones en Óptica, Mexico (2006-07, 2011, 2013), Ecole Nationale Supérieure des Mines, France (2008, 2010, 2012), Department of Biomedical Engineering - Texas A&M University, TX, USA (2009), Department of Biomedical Engineering - Yale University, CT, USA (2011, 2012), Department of Biomedical Engineering - University of Arizona, AZ, USA (2012), Benemerita Universidad Autonoma de Puebla, Mexico (2016), Universidade Federal de Santa Catarina, Brazil (2017). From 2002 to 2015, she joined the Mechanical Engineering Dept. at the University of Basilicata (Potenza, Italy), as Assistant Professor in Machine Design. Lectured at Polytechnic of Bari and University of Lecce on Advanced Optical Techniques for Stress Analysis. Chair of the Optical Method Division and Inverse Methods Division of the International Society of Experimental Mechanics (SEM) for the period 2009-2012. Reviewer for +20 journals. Authored 44 peer-reviewed journal papers, 2 book chapters and over 60 papers on International Conference Proceedings. Research areas concern optical methods for shape and deformation measurement (Moiré, Electronic Speckle Pattern Interferometry, Fringe Projection, Digital Image Correlation) and hybrid numerical/experimental methods for the inverse mechanical characterization of materials. She is currently Associate Professor in Machine Design and Head of the Experimental Mechanics Laboratory of the School of Engineering at University of Basilicata (Potenza, ITALY).

Speech title: Non-conventional DIC methods for biomedical applications

Abstract: The non-contact full-field capabilities of optical methods make their use particularly suitable for shape and deformation measurements for biomedical applications. Currently, in fact, optical methods are successfully used to map the regional varying material properties of biological structures thus allowing to gain an important insight into the mechanics of healthy and diseased tissues and organs. Nevertheless, the full potential of optical methods is still limited by the inherent complexity in terms of shape and material composition/distribution of most biological structures. To perform an accurate inverse mechanical characterization, in fact, it is of foremost importance to test the biological structure in its native shape under reproduced physiological load/boundary conditions. This requirement introduces a series of challenges that fail to be treated with traditional approaches and push towards the development of specially-designed measurement methods.

A first problem occurs whenever the measurement involves largely deformed images such as those obtained from two angled-views of complex-shaped parts (e.g. in lower limbs studies) or from an inadequate temporal sampling of fast- or slow-evolving phenomena (e.g. in growth and remodeling studies) over a large range of deformation. A further frequent issue is represented by the need to get time-resolved information over the full 360° surface of complex-shaped parts and/or to process sets of images obtained from different video-systems at different time and under different experimental conditions.

This talk aims to give an overview on problem-specific experimental protocols based on Fringe Projection (FP) and Digital Image Correlation (DIC) that have been recently developed to collect dense sets of 3D shape and deformation data on complex biological parts. Illustrative examples of application to the in-vitro testing of natural and synthetic structures of biomedical interest are given presenting experimental data collected with standard stereo-DIC, hybrid DIC-FP methods, multi-camera and panoramic DIC systems.


Lihong Ma
Zhejiang Normal University, China

LIHONG MA is currently an Associate Professor with Zhejiang Normal University (ZJNU), where she serves the Key Laboratory of Optical Information Detecting and Display Technology in Zhejiang Province. She received the Ph.D. degree in Optical Science and Engineering from the Zhejiang University (ZJU). She was a Visiting Scholar supported from China Scholarship Council(CSC) at University of Illinois at Urbana-Champaign. Her current research interests include digital holography, computer imaging and optical information processing. She has published over 30 papers in peer-reviewed journals.

Speech title: Registration algorithm for multi-height lensless in-line on-chip holographic microscopy

Abstract: Lensless in-line on-chip holographic microscope has cost-effective and compact designs that can offer sub-micron resolution over a large field-of-view. In multi-height lensless on-chip holographic microscopy, the in-line hologram series are recorded at different positions along the optical axis, thus, there inevitably exists several kinds of error sources including shifts, scales, and rotations. Therefore, digitally registering and aligning these in-line holograms is of great concern for iterative phase-retrieved recovery. Here, we proposed an accurate and fast registration method, which consists of three major steps. First, Fourier-transform-based phase correlation method is used to roughly correct the spatial translation through locating the correlation peak. Second, we proposed a morphology-based method to accurately search for the matching feature points to obtain the accurate scaling factors, where samples themselves are used as markers without any labeling. Third, the phase correlation method is used for precisely registration again. Experimental results verified the validity and effectiveness of the proposed registration algorithm. And by the comparative experiments with the existing popular registration algorithms, our proposed registration algorithm can register and align the multi-height in-line holograms with greater precision and speed.


Liyong Ren
Shaanxi Normal University, China

Dr. Liyong Ren is currently a professor in the School of Physics and Information Technology at ShaanXi Normal University, the director of Xi’an Key Laboratory of Optical Information Manipulation and (OMA). He was once an associate professor and professor working at Xi'an Institute of Optics and Precision Mechanics of CAS from 2004 to 2019, and a JSPS Postdoctoral Fellow working at the University of Electro-Communications from 2007 to 2009. His research interests include polarimetric imaging, information photonics, etc. He has published more than 110 peer-reviewed journal papers, obtained more than 10 Chinese patents, attended more than 60 international or domestic conferences and published more than 80 conference papers. He is a Senior member of SPIE, OSA, COS and CSOE.

Speech title: Image registration method for full-Stokes-vector division-of-aperture polarimetric camera

Abstract: Polarimetric imaging can significantly improve the quality of images captured under poor imaging conditions, these include enhancing visibility in fog, increasing image contrast under complicated background, highlighting details of targets by removing strong surface glare, etc. Compared with other polarimetric imaging systems, the full-Stokes-vector division-of-aperture polarimetric camera has obvious advantages such as the real-time imaging and the structural compactness, owing to its inherent capability of capturing the same scene’s four images related to its full-Stokes vector simultaneously. However, the deviations among four polarized images are inevitable due to assembly errors of four sub-apertures and the corresponding imaging channels. In this paper, we propose a method to solve the image registration problem in such a kind camera. Firstly, the coarse image registration is implemented through the phase-only correlation algorithm; secondly, the feature points of the reference image and other three images under registration are extracted and matched by using the Speeded up Robust Features (SURF) algorithm; finally, the affine transformation matrix between the reference image and each of the three images to be registered is obtained by using the RANSAC (i.e., Random Sample Consensus) optimization algorithm, respectively. The experimental results demonstrate that four polarized images are registered at the sub-pixel level, which effectively enhance the image quality in terms of the degree-of polarization (DoP), the angle-of-polarization (AoP), the structural similarity (SSIM) index, and the normalized mutual information (NMI) index.


Lingling Huang
Beijing Institute of Technology, China

Lingling Huang received her Double B.S. degree (both Science and Engineering B.S. degree) in Optoelectronics from Tianjin University and Nankai University, Tianjin, China, in 2009. And she received Ph. D. degree in Optical Engineering from Tsinghua University, Beijing, China, in 2014. Currently she is a professor in Beijing Institute of Technology. Her research activities are focused on nanophotonics and optical metasurfaces.

She has published more than 80 SCI papers with about 5600 google scholar citations in recent years, including Nature Communications, Science Advances, Advanced Materials, Light: Science & Applications, Nano Letters and so on. She has been selected as Young Scholar of Changjiang River, Beijing Outstanding Young Scientist, Bessel Research Award from Humboldt Foundation, et al. And she has been granted with several fundings from NSFC, Ministry of Science and Technology of China, and Beijing Municipal government.

Speech title: Wavefront engineering based on Metasurface

Abstract: In our work, we demonstrate multiplexed generation of VBs with arbitrary intensity profiles by designing specific phase profiles along azimuthal directions, named as generalized vortex beams (GVB), which can be realized by judiciously engineered birefringent metasurfaces. Because the topological charge of a vortex beam is directly related to the phase gradient of the wave along the azimuthal direction, one expects that the local phase gradient would determine the local divergence angle of the beam. Therefore, by designing the phase profile along the azimuthal angular direction, one can generate any arbitrary closed-loop profile for the shape of the vortex beam. We also explore and demonstrate the underline mechanism and spatial evolution of such GVB. Furthermore, we propose and demonstrate a novel approach for diffraction multiplexed generation of GVB based on the linear combination of a few custom-defined basis patterns, by using Dammann vortex metasurface (DVM). We experimentally demonstrate several examples of DVMs with diffraction-multiplexed patterns by using three custom-defined basis patterns. Realization of pattern generation in different diffraction orders may provide unique opportunities for optical computing in terms of parallelization, scalability, and fast computational speed.


Lu Rong
Beijing University of Technology, China

Dr. Lu Rong is an associate professor of Beijing University of Technology and the Dean of the Department of Physics and Optoelectronics Engineering. He received B.S. degree in 2006 and Ph.D. degree in 2012 from Beihang University, China. From 2009 to 2011, he was a jointly Ph.D. student of University of California, Los Angeles. His research interests include optical information processing, digital holography, ptychography, terahertz imaging and light field manipulation.

Speech title: Terahertz Imaging Using Super-Oscillatory Lens

Abstract: The profile of the illumination beam is a key factor affecting on the resolution of terahertz (THz) imaging. Terahertz super-oscillatory lenses (TSOL) are proposed with subwavelength focusing ability in far-field, which are constituted by concentric rings with identical step height and different radii. The structure of TSOL is optimized based on stimulated annealing algorithm considering the beam waist, sidelobe intensity ratio, even the focal depth in cases of computed tomography. These binary diffraction lenses are fabricated by layer superposition using a 3D printer with photosensitive standard resin. It is experimentally demonstrated that TSOL plays essential role as an focusing element working at 278.6 GHz. 0.9λ lateral resolution is achieved in THz scanning imaging, while both a hollow cylinder with 1.1λ wall thickness and a tube with 0.93λ diameter inside a chamber are clearly recognized in THz CT. The resolution and reconstruction fidelity are higher than those using conventional focusing lenses or axicons. This work is expected to extend the application scenarios of THz CT from 3D display towards high-accuracy measurement and analysis.


Mikołaj Rogalski
Warsaw University of Technology, Poland

Mikołaj Rogalski received his master's degree in 2020 at Faculty of Mechatronics, Warsaw University of Technology. Currently he is doing his PhD degree in Quantitative Computational Imaging LAB group at Warsaw University of Technology. His research interest include computational microscopy and quantitative phase imaging, in particular: lensless microscopy, Fourier ptychographic microscopy and optical fringe pattern analysis.

Speech title: Improving the signal-to-noise ratio in lensless holographic microscopy

Abstract: Lensless digital in-line holographic microscopy (DIHM) is a technique that enables for extremely large field of view imaging with micrometer resolution in straightforward systems (only lightsource, measured sample and camera are required). In this work there will be discussed original strategies for signal-to-noise ratio (SNR) improvement in terms of: (1) darkfield imaging, (2) Poisson noise reduction and (3) twin-image effect minimization. Proposed solutions will be applied for low contrast hologram reconstructions, autofocusing and object tracking in 3D (x,y,time) and 4D (x,y,z,time).


Mingjie Sun
Beihang University, China

Prof. Ming-Jie Sun is a professor and a Ph.D. advisor of Beihang University, and Head of Opto-electronic Engineering Department. He received his Bachelor and Ph. D. degrees of Optical Engineering, Zhejiang University in 2004 and 2010, respectively. He has been worked in Opto-electronic Engineering Department, Beihang University since 2010. He was granted the National Science Fund for Excellent Young Scholars in 2019. His research interests are mainly on computational optical imaging, specifically single-pixel imaging and single-photon imaging. He published more than 30 SCI indexed papers, including 3 ESI highly cited papers. He is charge of projects granted by NSFC, Ministry of Education and etc.

Speech title: First-photon imaging for high-efficient LiDAR

Abstract: LiDAR has been a hot research topic since the invention of laser. Combined with the time-of-flight technique, LiDAR can be used to mapping the world in three-dimension, which is an important application considering the globally thriving AR/VR and UAV techniques and markets. However, LiDAR is not widely used for the aforementioned applications for the time being, because the energy efficiency and consequently economic cost of the system is not suited for mass production. The fundamental question is how can a 3D image be measured and formed with as little energy as possible, in this instance, as few photons as possible. We have been exploring this possibility by applying first-photon imaging technique to achieve high-efficient LiDAR detection. In this talk, we will cover the principle of first-photon imaging, and our recently works on the endeavors of achieving high-efficiency for LiDAR applications.


Peng Fei
Huazhong University of Science and Technology, China

Dr. Fei Peng is the professor at School of Optical and Electronic Information, Huazhong University of Science and Technology (HUST), also Adjunct professor at Wuhan Tongji Hospital. He is the scholar of National 1000 Youth Talents Plan (2015), and presides the National Science Fund for Distinguished Young Scholars (2022). His Biophotonics laboratory at HUST develops high-throughput computational fluorescence microscopes for advancing current biomedical research. Dr. Fei Peng has published over 70 papers at several top journals, such as Nature Methods (2), Nature Materials, Nature Communications, PNAS, Optica, etc; and owned more than 30 authorized patents / software copyrights / application certificates, with 2 patented light-sheet microscopy techniques being applied in commercialized digital-PCR device; Dr. Fei Peng is currently the Associate Editor of SPIE Journal of Biomedical Optics and also the invited reviewer for high-ranking journals like Nature Methods, Nature Biotechnology, etc.

Speech title: Deep-learning 4D live fluorescence microscopy advancing biomedical applications

Abstract: Many important biological phenomena, such as heartbeat, blood flow, organelle interactions, etc., often require rapid and high-resolution observations in 4-dimensional time-space. Current fluorescence microscopy imaging techniques are difficult to solve such challenges due to limited spatiotemporal resolution (limited optical throughput), and the measurements are either fast but inaccurate, or accurate but not fast. This presentation will describe how we combined new design in imaging optics with cutting-edge deep learning to increase the throughput of 3D fluorescence microscopy by 2 orders-of-magnitude and achieve ultra-high spatiotemporal resolution observations at both the tissue and single-cell levels. Our deep learning-enhanced light field and light-sheet microscopy techniques realize three-dimensional high-resolution imaging of millisecond-level biological dynamics, such as heartbeat and neural behavior, in freely-moving samples, as well as super-resolution visualization of the 3D interactions between various organelles in a living cell.


Piotr Zdankowski
Warsaw University of Technology, Poland

I finished my undergrad studies at the Warsaw University of Technology in 2014 and then moved to Dundee, Scotland for a PhD studies. For my PhD project I designed and built an adaptive optics super-resolution stimulated emission depletion microscope for deep tissue imaging. Then I came back to Warsaw University of Technology where I develop quantitative phase imaging and computational imaging systems. In 2022, I did a 6-months postdoc in Buenos Aires, Argenting at the Center for Bionanoscience Research (CIBION) with prof. F. Stefani, where I was developing a 3D RASTMIN nanoscope system

Speech title: Single-Molecule Nanoscopy through Structured Illumination

Abstract: Numerous physicochemical and biological investigations at the nanoscale and beyond ensemble averaging depend on the localization of single fluorescence emitters. Examples include single-molecule tracking and single-molecule localization microscopy. Recently proposed MINFLUX technique, became a milestone in nanoscopic imaging, as it can image at the molecular scale, while keeping moderate photon counts. Since then, several comparable techniques have been created, and a standard framework for single molecule localization by sequential structured illumination has been established. The concept and experimental foundation for fluorescent nanoscopy and the tracking of individual fluorophores with real nanometric resolution are now firmly established.


Peng Gao
Xidian University, China

Peng Gao, Ph.D, Professor at Xidian University. He studied Physics and received his Ph.D. at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), CAS, in 2011. He was a “Humboldt Fellow” (2012-2014) and Marie-Curie Fellow (IEF) (2014-2018). He is currently appointed as a professor at Xidian University. His research interest includes super-resolution optical microscopy, quantitative phase microscopy and fluorescence correlation spectroscopy. So far, he has authored over 100 peer-reviewed papers in Nature Photonics, Adv. Opt. Photon., Nanophotonics, etc. Currently, he is an associate editor of Frontiers in Physics, and young editorial board member of Infrared and Laser Engineering, Chinese Laser Press, and Modern Applied Physics.

Speech title: Super-resolution fluorescence microscopy and quantitative phase microscopy

Abstract: Optical microscopy (OM) has been widely used in biological research due to its merit of fast imaging speed, minimally invasive, and selective to specific bio-structures once fluorescent labeling is applied. This talk will focus on two complementary microscopic imaging techniques, entitled super-resolution optical microscopy and quantitative phase microscopy. As the first imaging technique, a large-field structured illumination microscopy (SIM) technique is presented, which combines a 2D grating for fringe pattern projection and a SLM for selecting fringe orientation and performing phase-shifting digitally. 1.8-fold resolution enhancement in a large field of 690×517 μm2 under a 20×/0.75 objective is experimentally demonstrated with this technique. As the second imaging technique, structured illumination quantitative phase microscopy will be presented, which provides high-contrast, resolution-enhanced phase images for transparent samples. The two imaging approaches can be integrated into an imaging platform, providing complementary information for the same sample.


Ping Zhou
Southeast University, China

Zhou Ping, associate professor with the School of Biological Science and Medical Engineering, Southeast University. Our research interests include computational imaging in biomedical engineering (light field-based system and algorithm), 3D structured light imaging in biomedical engineering and biomedical image processing.

Speech title: 3D light field endoscopy

Abstract: It is important to acquire 3D data for the endoscopy, but it is still difficult for regular 3D endoscopy that can only shows some 3D images to doctors through additional equipments. We will introduce some work about the 3D light field endoscopy, including its setup, imaging principles, calibration and 3D imaging methods that are differed with the traditional light field system.


Qiang Jiang
Beijing Institute of Technology, China

Assistant Professor,associate Researcher of Beijing Institute of Technology, he was selected into the second batch of China Postdoctoral Innovative Talent Support Program. He has long been engaged in research on metamaterial, metasurface, and micro-nano optics. He has published more than 20 SCI papers in internationally renowned journals such as Advances in optics and photonics, Nanoscale, Optics Express.

Speech title: Single-shot ptychoraphy under the metasurface multiplexed illumination

Abstract: Ptychography Iterative Engine (PIE) has significant advantages of large field of view and high imaging quality. It has wide applications in biological imaging, laser beam diagnostics, 3D imaging. optical element measurement and stress detection. Typical PIE usually needs several seconds or minutes to acquire all of the diffraction patterns by scanning, while single-shot PIE accelerates these processing by encoding the illumination light with cross grating, pin hole array, micro-lens array, spatial light modulator (SLM) and reconstructs the image by iterative algorithms. Highly tilted non-paraxial illumination avoids overlapping between neighboring diffraction patterns, However, the illumination setup is bulky, especially when it is used for imaging of tiny objects. Metasurface possesses the advantages of flatness, light weight, flexible manipulating the amplitude, phase, amplitude and dispersion of electromagnetic field, it has been widely studied in many fields. In this work, achromatic metasurfaces has been used to generate highly tilted non-paraxial laser beam illumination at different wavelengths. A non-paraxial iterative computation algorithm is applied to sufficiently reduce the reconstruction error caused by paraxial approximation. The images recovered by this method not only have high resolution, but also show the spectral information in different parts of the sample. The proposed metasurface-based illumination system greatly reduces the volume of traditional illumination systems and expands the dimension of illumination light, which can acquire more sample information in a single-shot ptychoraphy.


Qiu Wei
Tianjin University, China

Dr. Wei Qiu, born in September 1978, is a professor of the School of Mechanical Engineering, Tianjin University. He has been awarded several distinguished awards, including the National Science Fund for Distinguished Young Scholars, the New Century Excellent Talents (NCET) in 2013, Tianjin 131 Innovative Talents in 2014, and the Endeavour Australia Cheung Kong Scholarship in 2005. He is currently serving as Dean of the Department of Mechanics at Tianjin University, the vice chair of the Experimental Mechanics Committee of the Chinese Society of Theoretical and Applied Mechanics, and the deputy director of Tianjin Key Laboratory of Modern Engineering Mechanics. He is also a member of the Light Scattering Committee of the Chinese Physical Society, the Intelligent Composite Materials Committee of the Chinese Society for Composite Materials (CSCM), the Micro-Nano Mechanics Group of the Chinese Society of Theoretical and Applied Mechanics, the editorial board of the Acta Mechanica Sinica, the youth editorial board of the Acta Mechanica Solida Sinica. His research specializations are experimental mechanics of micro-nano spectroscopy, multi-scale mechanical behavior of nanomaterials and structures, and the application of optical mechanics in engineering. Hitherto, he had presided 7 NSFC projects, including one National Major Scientific Instrument Development Project. Meanwhile, he had participated over 10 projects including Innovation Group Project of NSFC and National key research and development program (973). He had been awarded 26 national patents and published over 100 research articles in peer-reviewed journals.

Speech title: Experimental study on internal stress of film-substrate structure based on advanced spectroscopic mathods

Abstract: The state, distribution and evolution of internal stress in film-substrate structures are the key factors affecting the overall function, strength, efficiency and reliability of core devices. The experimental methods based on photomechanics and advanced microscopy are difficult to match the research requirements of stress with high-resolution and high-precision. Focusing on the internal stress of film-substrate structures, this study developed new characterization theory, measurement technology and experimental instruments of Raman spectroscopic mechanics. Based on these methodology works, experimental investigations were carried out on the interface mechanics of composite structure with graphene and flexible substrate, and the internal stress and defects of thermal barrier coatings.


Ran Ye
Nanjing Normal University, China

Dr. Ran Ye is an associate professor in the Nanjing Normal University. He obtained his Master’s degree from Nanjing Normal University under the supervision of Prof. Yong-Hong Ye, who is one of the most active researchers in microsphere’s super-resolution imaging. Between 2014 and 2019, Dr. Ran Ye did his PhD research in the Université catholique de Louvain under the supervision of Prof. Sorin Melinte. Now he is a Post-Doctoral researcher in Prof. Chao Zuo’s group in the School of Electronic and Optical Engineering, Nanjing University of Science and Technology.

Speech title: Lable-free super-resolution imaging with patchy microspheres

Abstract: The diffraction limit is a fundamental barrier in optical microscopy, which restricts the smallest resolvable feature size of a microscopic system. Microsphere-based microscopy has proven to be a promising tool for challenging the diffraction limit. Nevertheless, the microspheres have a low imaging contrast in air, which hinders the application of this technique. Currently, most microsphere-assisted imaging methods use high-refractive-index microspheres in a liquid environment. Nevertheless, the imaging performance of the microspheres can be affected by the shape of air-liquid interfaces as well as the refractive index distribution of liquid films. Moreover, samples may be contaminated or even damaged in liquid. We demonstrate that this challenge can be effectively overcome by using partially metal-plated microspheres. The deposited metal film acts as an aperture stop that blocks a portion of the incident beam, due to their structural asymmetry, the patchy particles can generate a photonic hook and an oblique near-field illumination. Such a photonic hook significantly enhanced the imaging contrast of the system. The results will contribute to the further advancement of the microsphere-based optical microscopy techniques.


Rongsheng Lu
Hefei University of Technology, China

Rongsheng LU received the Ph.D. degree in precision instrument engineering from the Hefei University of Technology, China, in 1998. Later, he joined Tianjin University, China, as a postdoctoral researcher and later became an associate professor. From 2001 to 2006, he worked as a researcher in machine vision and optical metrology with the City University of Hong Kong, Imperial College London and University of Hudderseld in the United Kingdom. His research interests include machine vision and optical metrology. He is currently a professor with the School of Instrument Science and Opto-electronics Engineering of Hefei University of Technology, the president of Wuxi Wedo Machine Vision Industry Technology Research Institute, and the chairman of the Metrology Society of Anhui, China.

Speech title: Structured Light 3D Vision and its Applications in Industry

Abstract: 3D vision can be realized with structured light projection 3D measurement methods, involving 3D measurement of structured light scanning methods, structured light projection methods, optical deflection methods, etc. At present, structured light 3D vision is widely used in robot vision guidance, industrial online measurement, positioning and defect detection. With the development of advanced manufacturing industry, there is an increasing demand for high-precision online 3D measurement and inspection of products with complex geometric shape and surface optical characteristics using structured light 3D vision techniques. Consequently, new challenges are presented to improve the performance of structured light 3D vision methods, such as measurement precision, inspection accuracy, etc. This report firstly reviews the types of 3D vision methods, and then focuses on some of our research progress in these areas, including nonlinear error compensation methods for phase-shifting fringe projection structured light 3D vision systems, adaptive projection 3D measurement methods for complex surface structured light with large variation range of optical reflectivity, multi-view fringe projection deflection measurement methods for large object with bright surfaces, the depth map optimization method of highly dynamic scene based on depth learning algorithms. The report later presents some our research achievements that have been used in the industrial fields such as 3D defect online detection of complex parts.


Robert Kuschmierz
Dresden University of Technology, Germany

Robert Kuschmierz studied at TU Dresden. Since 2012, he is a Research Fellow with the Laboratory for Measurement and Sensor System Techniques. He received his Ph.D. in electrical engineering from TU Dresden, in 2017. For his Ph.D. thesis he received the measurement technique award from the company SICK and the award for outstanding dissertations from the Dr.- Ing. Siegfried Werth Foundation. Since 2017, he is Head of the optical process metrology group at the Laboratory for Measurement and Sensor System Techniques. His current research interests include interferometry, holography, wavefront shaping and deep neural networks for lensless endoscopy.

Speech title: Lensless endoscopes enabled by 2-photon lithography and deep neural networks

Abstract: Coherent fiber bundles are flexible and offer diameters of a few 100 microns for transferring images, for instance for diagnostics in the brain. The inherent dispersion of the individual fiber cores scrambles the phase information however, so that only 2D information can be transferred. Recently, digital optical phase conjugation has been employed, to compensate the phase distortions by means of spatial light modulators (SLM). This enables endoscopes without distal optics, unpixellated 3D imaging and diameters below 0.5 mm, in principle. However, the realized systems are complex and require expert knowledge, they are difficult to align and easily misaligned, they are still expensive due to using SLMs and have not been transferred outside of optical labs so far. Two approaches to overcome these issues by 2-photon lithography are presented.

A diffractive optical element (DOE) is printed onto the fiber facet, in order to compensate the phase distortion of the CFB and to match the phase of all fiber cores. Thus, a robust, monolithic phase preserving imaging waveguide is realized. This can be integrated into existing microscopes easily to extend their applicability from ex-situ surface imaging to in-vivo imaging.

3D imaging still requires scanning however. In order to do real time 3D imaging, a second approach is presented. This relies on placing a random DOE in the far field of the distal facet. The DOE converts the light intensity distribution from a 3D scene into a pseudo-random 2D, intensity-only, speckle pattern. The speckle pattern is transferred through the CFB and decoded using deep neural networks in order to recuperate the 3D scene in a single shot.

Both approaches may pave the way towards minimally-invasive and single-use diagnostic tools in the future.


Shaohui Zhang
Beijing Institute of technology, China

Shaohui Zhang is an associate professor at the School of Optics and Photonics, in Beijing Institute of Technology. He received the B.S. degree from the school of physics of Nankai University in 2012, and PHD degree from the Institute of precision instruments of Tsinghua University in 2017. His current research interest focus on computational imaging, inverse problems, optical 3D imaging, and laser precision measurement. Zhang has published over 30 papers, and has been invited to give oral presentations at academic conferences many times. He is currently a youth committee member of the Laser Application Branch of the China Optical Association, and youth editorial board member of Optical Technique.

Speech title: HDR+: A practical solution for high dynamic range 3D imaging

Abstract: Fringe projection profilometry has been widely used in lots of 3D imaging situations for its high spatial resolution, high robustness to random illumination, and relative high measurement and demodulation speed. The linear relationship between the image sensor signal and illumination intensity is critical to guarantee the one-to-one correspondence between the projector sensor and the imaging sensor. Limited by the linear response range of regular cameras, a typical fringe projection system always has a relatively limited 3D dynamics range. To reduce the effects of dark and overexposed scenes and increase the imaging dynamics range, we propose an HDR+ implementation method by designing, taking, and merging a series of underexposed images with equal exposure time. Compared with conventional methods which merge images taken with different exposure times, our method can achieve the same 3D image quality but with a shorter measurement time. Afterward, we implement this idea into the complementary Gray-code-assisted phasing shift method and demonstrated its feasibility and effectiveness in typical real scenarios.


Shuming Wang
Nanjing University, China

Shuming Wang, professor for National Laboratory of Solid State Microstructures, School of Physics, Nanjing University, specializes in nanophotonics, metasurfaces (metamaterials), plasmonics, and quantum optics. Shuming Wang has received the excellent youth project from National Natural Science Foundation of China and the Forth Jiangsu Youth Optical Science and Technology Award. Prof. Wang has authored more than 70 research publications, with more than 2000 citations.

Speech title: Imaging based on metasurface devices

Abstract: We demonstrate the ultra-compact spectral light-field imaging (SLIM) by using a transversely dispersive metalens array and a monochrome imaging sensor, which presents the snapshot imaging with a 4 nm spectral resolution and near-diffraction-limit spatial resolution. By employing an inverse-design method, we demonstrate a pixel-level metasurface-based Bayer-type colour router, with the brightness twice as high as that of a commercial camera.


Wen Chen
The Hong Kong Polytechnic University, China

Dr. Wen CHEN received Ph.D. degree from National University of Singapore. Dr. Chen conducted extensive research related to computational optics and information photonics as Research Associate and Research Fellow in National University of Singapore. Dr. Chen was a visiting scholar in Harvard University in 2013. Dr. Chen joined The Hong Kong Polytechnic University as an Assistant Professor in Dec. 2015. Since 1 July 2021, Dr. Chen is currently an Associate Professor in Department of Electronic and Information Engineering & Photonics Research Institute at The Hong Kong Polytechnic University. Dr. Chen has authored more than 140 top-tier journal and conference papers on his field of specialization. Dr. Chen is listed among the top 2% of the world’s most highly cited scientists by Stanford University. Dr. Chen serves as an Associate Editor for several academic journals (e.g., Optics and Lasers in Engineering, Optics Express). Dr. Chen’s current research interests focus on computational optics, information photonics, optical imaging, optical encoding, free-space optical data transmission, deep learning in optics and photonics.

Speech title: Imaging and Transmission with Single-Pixel Detection in Complex Scenarios

Abstract: In recent years, single-pixel optical imaging and transmission have attracted much attention. In this invited talk, our current research work about optical imaging and transmission with single-pixel detection in complex scenarios is presented. We provide evidence that the theoretical description about optical systems based on spatially correlated beams is still incomplete and cannot work in complex scenarios. The theories, characteristics and performance of the proposed optical imaging and transmission with single-pixel detection in complex scenarios are discussed, and it is also illustrated that the rectified algorithms can work well for optical imaging and transmission with single-pixel detection in complex scenarios.


Wen Qiao
SooChow University, China

Wen Qiao received her B.S. Degree in Optical Information from Tianjin University and M.S. in Optical Engineering from Zhejiang University, China. Then she received Ph.D. in Photonics from University of California, San Diego. She is now a full professor at school of optoelectronic information science and engineering of Soochow University. Professor Qiao’s areas of research center on the developments of novel nanostructures for photonic devices and bio-medical applications.

Speech title: Planar optics enables next-generation 3D displays

Abstract: Augmented reality (AR) is an emerging technology that can transform our world by creating immersive experiences for users to interact with the digital world. Currently, 3D displays – one of the key AR components for visual contents – not only have bulky designs but also show limited performance due to small field of view and degraded image quality (caused by crosstalk between view angles). The fast-growing field of flat optics has attracted broad interest for AR development because of their extraordinary control over light propagation. This presentation highlights how planar optical elements ranging from diffractive gratings to metasurfaces provide game-changing solutions for glasses-free 3D display technology. Using rationally designed nanostructures that tailor the optical wavefront properties (such as phase and polarization) with subwavelength precision, these ultrathin optics are driving advances in 3D displays in all aspects: significantly enlarged field of view, suppressed crosstalk, and reduced vergence accommodation conflict. To realize this precise 3D control over light, we established the crucial multiscale fabrication methods that enable scalable production of the AR metasurfaces. We expect that our innovations in glasses-free 3D displays will turn into AR technology that reshapes our everyday life.


Xiangchao Zhang
Fudan University, China

Zhang Xiangchao is currently the vice director of the Shanghai Engineering Centre of Ultra-Precision Optical Manufacturing, Fudan University, China. He is a Senior Member of SPIE, China Optics Society and China Instrument and Control Society, and a member of OSA, ASPE, and IEEE, and a trustee of Precision Machinery Sub-Society of China Instrument and Control Society. He serves as an organizing committee member of several top conferences including SPIE Optics & Photonics, Defense & Commercial Sensing, Photonics Asia etc. His research interests include precision optical measurement, surface metrology and precision optics polishing. He has published more than 100 papers and leaded several research grants including National Natural Science Foundation of China, Shanghai Natural Science Foundation, Science Challenging Program, National Key Research and Development Program of China etc. He won a Second Prize of Science and Technology Development, Ministry of Education of China.

Speech title: Self-calibration of deflectometry

Abstract: Phase measuring deflectometry is a powerful measuring technique of complex optical surfaces. Its measurement accuracy is comparable with conventional interferometry, but with higher flexibility, stability and efficiency. The relative positions between the camera, workpiece and screen is of significance because it directly determines the reliability of the measurement.

To compensate the positioning error of the workpiece, a mathematical model is constructed assisted with reverse ray tracing and workpiece rotation around the main spindle. The geometrical pose and location of the workpiece are solved by minimizing the re-projection error of ray tracing. The hybrid-reflective-refractive phase measuring deflectometry is also development for measuring transparent lenses. An automatic positioning method is proposed by combining the bundle adjustment and Gaussian process regression. The relationship between these coefficients and the workpiece positions is established from a training set that is conveniently generated. Experimental results demonstrate that the proposed method can realize the simultaneous form-position measurement of transparent optics and sub-aperture measurement of large-area complex optics, which can find widespread applications in the efficient and precision inspection of advanced optical components.


Xiangjun Gong
South China University of Technology, China

Education:
2011 Ph.D., The Chinese University of Hong Kong, Hong Kong
2008 M.phil., The Chinese University of Hong Kong, Hong Kong
2005 B.Sc., Department of Physics, University of Science and Technology of China

Professional Appointments:
2011-2013 Research Assistant, The Chinese University of Hong Kong
2014-2017 Associate Professor, South China University of Technology
2017- now Professor, South China University of Technology

Research Interests:
Development of high-resolution, high-throughput 3D microscopic imaging and tracking techniques to explore interactions and dynamics of nanoparticles, polymers, microorganisms and cells, including: Interactions between bacteria and nanoparticles, diffusion and membrane transport of drug particles, 3D migration behaviors of cells.

Speech title: Study of the 3D dynamics of nanoparticles and microorganisms by digital holographic microscopy

Abstract: Aiming to monitoring fast dynamics of bacteria and nanoparticles in 3D, digital holographic microscopy (DHM) was recently established in our lab. Incorporated with high-speed camera and high N.A. objective, it is capable to track small particles smaller than 100 nm in a 3D space with volume as large as 8000 times as themselves in real-time. The applications in high-throughput characterization of the dynamics and properties of dense bacteria and nanoparticles were presented.


Xiaoli Liu
Shenzhen University, China

Prof. Xiaoli Liu received his PhD degree in measurement technology and instrument from Tianjin University. He is currently a professor and doctoral supervisor in Shenzhen University. He is mainly engaged in 3D structured light imaging and metrology, light filed 3D imaging, and celestial navigation. He published more than 100 papers, and won the Shenzhen Technology Invention Award and Guangdong Science and Technology Award.

Speech title: Progress on Fringe Structured Light 3D Measurement based on Ray Model

Abstract: Calibration is the basis of accurate vision measurement in an imaging system, and its purpose is to establish the mapping relationship between object points in three-dimensional space and image points on the sensing plane. Different from the traditional pinhole projective model, a ray model for the calibration and measurement of imaging system is introduced. The model assumes that each pixel of the imaging system in focus state corresponds to a virtual ray in space. By determining the parameters of ray equation corresponding to every pixel, calibration and imaging characterization can be achieved, thereby avoiding the structural analysis of complex imaging systems and modeling, such as light field camera, high-order distortion lens, telecentric lens, etc. We presents some of the progress made by our team in the 3D measurement with fringe structured light based on the ray model, showing that the ray model can be used for high accuracy measurement with various complex structural imaging systems. It is an effective model for calibrating non-pinhole projective imaging systems.


Xianghua Yu
Xi'an Institute of Optics and Precision Mechanics, China

Dr. Xianghua Yu, associate professor of Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences. He received his PHD degree in 2016 from University of Chinese Academy of Sciences. His fields of research include: light-sheet microscopy, optical micro-fabrication, and optical data storage. He has published more than 40 papers in peer-reviewed journals such as Optics Letters, Optics Express, Journal of Biophotonics.

Speech title: Light-sheet Fluorescence Microscopy with Complementary Beam Subtraction

Abstract: Light-sheet fluorescence microscopy (LSFM), only illuminating the specimen in the focal plane of the detection lens and obtaining optical sectioning images with a camera oriented orthogonally to the light-sheet, facilitates rapid, high contrast, low photo-damage, and long-term volumetric imaging. The generation of thin and homogeneous large area light-sheets is the key issue to obtain a high axial resolution and a large field of view (FOV) for LSFM. A scanned Gaussian beam can form a light-sheet, but has to make a trade-off between the FOV and the axial resolution. Non-diffracting beams (e.g., Bessel beams, Airy beams) can create uniform light-sheets to largely increase the FOV, whereas the side lobes produce out-of-focus background which reduces the axial resolution and the signal-to-noise ratio. To address these issues, the complementary beam subtraction (CBS) method is proposed to remove the out-of-focus background by subtracting two images obtained by scanning the nondiffracting beam and the corresponding complementary beam for each slice. Therefore, high axial resolution and good optical sectioning capability can be obtained in large FOV. The proposed methods are verified and demonstrated by imaging specimens of fluorescent beads, aspergillus conidiophores, and Green fluorescent protein labeled mouse brain section.


Xiaopeng Wang
Quantalus Co. LTd., China

Xiaopeng Wang received the Ph.D. degree in CoET laboratory from The University of Sydney, Sydney, NSW, Australia in 2018.

He is now the Founder and CEO of Quantalus co ltd in Shenzhen, China, which dedicates in developing ghost imaging lidar in autonomous driving and related scenarios.

His research interests include signal processing and system design for ghost imaging, radar target identification, recognition, and machine learning-based target behavior prediction, as well as error-control-coding (ECC) assisted imaging and task-oriented imaging system design.

Speech title: Ghost imaging lidar in autonomous driving scenario

Abstract: A typical Level4 enabled vehicle relies on modules with detection, localization, computation and communication functions to accomplish autonomous driving tasks in most of the daily scenarios, while lidar is widely recognized as the key and eye to it. In this presentation, the development of autonomous driving technology is firstly introduced, followed by the background review of lidar. Then challenges and open problems to existing lidar products are summarized afterwards. In the last, a brief introduction to our work in vehicle-borne real-time ghost imaging lidar is also presented, as well as its lastest product implementations.


Xinxing Shao
Southeast University, China

Xinxing Shao received his BS degree in Engineering Mechanics from Southeast University, China, in 2012 and PhD in Experimental Solid Mechanics from Southeast University, China, in 2018. Currently, he is an assistant professor in the Department of Engineering Mechanics at Southeast University. His current works are focus on real-time, high-resolution and fully automatic deformation measurement, development of scientific instruments and experimental fracture mechanics. He is a member of SPIE and Optica (formerly OSA), and serves as reviewer for more than 20 international journals. He has published more than 60 journal and conference papers in the field of optical deformation measurement.

Speech title: Three-dimensional camera array-based digital image correlation for high-resolution shape and deformation measurement

Abstract: To achieve a breakthrough in three-dimensional (3D) shape and deformation measurement using digital image correlation (DIC), a 3D camera array-based DIC method is reported herein for high-resolution measurement. Eighteen industrial cameras were assembled into a three-by-three 3D camera array, with each two cameras capturing a part of the specimen. The calibration-based point clouds stitching method is proposed and is applied to these shapes and their corresponding displacement fields. The strain field is then calculated based on the stitched displacement fields. The use of the 3D camera array greatly improved the measurement spatial resolution of 3D-DIC and made high-resolution shape and deformation measurement possible. The 3D camera array-based DIC is further applied for high-resolution chip thermal deformation measurement and the displacement resolution of 2.5 micrometer is achieved for the field of view of 600 by 600 millimeters.


Ying Ma
Xidian University, China

Ying Ma is currently an associate professor in the School of Physics at Xidian University. He received his BS and PhD in the School of Engineering and Science at the University of Science and Technology of China (USTC), and he completed his postdoctoral research in the Department of Life Sciences Medicine at USTC. He holds 10 patents and has over 20 publications. His research interests are in the fields of quantitative phase microscopy, super-resolution fluorescence microscopy, and multimodal microscopy.

Speech title: Label-Free Imaging of Intracellular Organelle Dynamics Using Flat-Fielding Quantitative Phase Contrast Microscopy (FF-QPCM)

Abstract: Panoramic and long-term observation of nanosized organelle dynamics and interactions with high spatiotemporal resolution still hold great challenge for current imaging platforms. In this study, we propose a live-organelle imaging platform, where a Flat-Fielding Quantitative Phase Contrast Microscope (FF-QPCM) visualizes all the membrane-bound subcellular organelles, and an intermittent fluorescence channel assists in specific organelle identification. FF-QPCM features a high spatiotemporal resolution of 245 nm and 250 Hz and strong immunity against external disturbance. Thus, we could investigate several important dynamic processes of intracellular organelles from direct perspectives, including chromosome duplication in mitosis, mitochondrial fusion and fission, filaments, and vesicles’ morphologies in apoptosis. Of note, we have captured, for the first time, a new type of mitochondrial fission (entitled mitochondrial disintegration), the generation and fusion process of vesicle-like organelles, as well as the mitochondrial vacuolization during necrosis. All these results bring us new insights into spatiotemporal dynamics and interactions among organelles, and hence aid us in understanding the real behaviors and functional implications of the organelles in cellular activities.


Yongtao Liu
Nanjing Unviersity of Science and Technology, China

Prof. Yongtao Liu obtained his PhD from the University of Technology Sydney in Australia. From 2021, he worked as a Postdoctoral Research Fellow in Prof. Dayong Jin’s group to lead the bio- photonics team. Now he invited as full professor position in Smart Computational Imaging (SCI) Lab of NJST. Dr Yongtao Liu is working on super-resolution imaging, nanophotonic and bio-photonics research. He has developed and transformed a set of advanced imaging technologies for biomedical applications. Such as Up-conversion based stimulated depletion microscope. Deep tissue super-resolution microscopy for spheroids imaging, multi-channel super-resolution microscopy for functional imaging, a real-time 3D super-resolution tracking system for nanomedicine trajectory recoding, Near-infrared volumetric imaging system. His research articles are published in premier international journals in nanophononics, optical imaging, and nanotechnology, typically within the top 5% range of my disciplines. He has published several papers as first author and co-author at Nature Photonics in Nature communications (IF ~ 14.919), eLight, Nature Photonics (IF ~ 31.241), Nature Nanotechnology (IF ~ 39.2), Advanced Materials (IF~30.847), Small (IF ~ 13.281), Nano letter(IF ~11.189), ACS Nano(IF ~ 15.881), and Nanoscale (IF ~7.79), and Analytical Chemistry (IF ~ 6.785).

Speech title: Upconverting Multimodality super-resolution microscopy

Abstract: UCNPs represent an entirely new class of multiphoton probes that rely on high densities of multiphoton emitters in small particles. Each particle contains thousands of codoped lanthanide ions that form a network of photon sensitizers and activators, which upconverts near-infrared photons into visible light. Unlike other multiphoton processes, UCNPs have a large number of intermediate excited states which can absorb low energy photons which are then converted into high energy photons. Upconversion nanoparticles are highly controllable during the synthesizing process, e.g. sizes ranging from a few nanometers to 100 nanometers. Due to the advantages of narrow emission spectra, high chemical stability, low toxicity, long luminescence lifetime, and high resistance to photo-quenching and photobleaching of UCNPs and the large anti-Stokes spectral separation between excitation and emission, UCNPs have served as probes for background-free and photostable bioimaging. Taking advantage of the nonlinear photo-response of rare earth elements inside UCNPs, Here, we reported a series of new modes of super-resolution technologies for bio-photonics application.


Yong Li
Zhejiang Normal University, China

Yong Li was born on Jan 1972, in Zhejiang. He received his B. S. degree from Zhejiang Normal University in 1994, M.S. degree from Zhejiang University in 2003 and Ph.D. degree from Sichuan University in 2006. He is now a professor of Zhejiang Normal University. His research interests include optical information processing, optical 3D sensing and 3D display.

Speech title: Fast algorithms for large scale and realistic computer-generated hologram

Abstract: The computation cost of computer-generated hologrm (CGH) is high. It is time consuming to produce large scale and realistic CGH for 3D display. To solve this problem, we analyzed the human visual attribution and digital signal processing theory in CGH. The following algorithms for increasing the computation speed of CGH have been proposed. 1) Frequency domain tiling method for generating large scale full-parallax synthetic CGH. 2) Periodically extending integral term method for generating large scale Fresnel CGH. 3) Orthogonal decomposition method to increase the computation speed of Fresnel CGH. 4) Parallel algorithm for realistic rendering and computing CGH. The experimental results show that the proposed approaches singnificantly increase the computation speed of CGH.


Yuecheng Shen
Sun Yat-sen University, China

Dr. Yuecheng Shen is an associate professor at the School of Electronics and Information Technology of Sun Yat-sen University. His research mainly focuses on solving the problem of information disorder caused by optical scattering through wavefront shaping and eventually achieving deep-tissue high-resolution imaging for living tissues. He has published more than 50 journal articles, including Nature Communications, Science Advances, Physical Review Letters, Optica, and Photonics Research.

Speech title: Imaging biological tissue with high-throughput single-pixel compressive holography

Abstract: Single-pixel holography (SPH) is capable of generating holographic images with rich spatial information by employing only a single-pixel detector. Thanks to the relatively low dark-noise production, high sensitivity, large bandwidth, and cheap price of single-pixel detectors in comparison to pixel-array detectors, SPH is becoming an attractive imaging modality at wavelengths where pixel-array detectors are not available or prohibitively expensive. In this work, we develop a high-throughput single-pixel compressive holography with a space-bandwidth-time product (SBP-T) of 41,667 pixels/s, realized by enabling phase stepping naturally in time and abandoning the need for phase-encoded illumination. This holographic system is scalable to provide either a large field of view (~83 mm2) or a high resolution (5.80 μm × 4.31 μm). In particular, high-resolution holographic images of biological tissues were presented, exhibiting rich contrast in both amplitude and phase. This work is an important step toward multi-spectrum imaging using a single-pixel detector in biophotonics.


Yueqiang Zhang
Shenzhen University, China

Yueqiang Zhang is currently a researcher of the college of physics and optoelectronic engineering of Shenzhen University and deputy director of the Department of measurement and control technology and instruments of Shenzhen University. In 2009, he graduated from Xidian University with a bachelor's degree in measurement and control technology and instruments. In 2011, he received a master's degree in pattern recognition and intelligent systems from National University of Defense Technology, and in 2016, he received a doctor's degree in image measurement and vision navigation from National University of Defense Technology. From 2016 to 2018, he was engaged in the research of remote sensing, image processing and aerial photogrammetry in Xi'an mapping and geospatial center. He presided over or participated in more than 10 projects, such as the 973 project, the 863 project, the National Natural Science Foundation project and the National key R & D project. He has been engaged in the research of vision measurement and image intelligent analysis methods for a long time. The research content involves large-scale structural deformation vision measurement and structural defect recognition, image enhancement and optimization, object detection and recognition, visual autonomous navigation, etc.

Speech title: Displacement measurement of large-scale structure based on multi-camera vision system under ego-motion

Abstract: As the most direct embodiment of structural health, the deflection of large-scale structure is an important index for the evaluation of structure safety and applicability. With the development of digital image processing technology, computer vision method is gradually applied to the field of structural health monitoring due to the advantages of non-destructive, non-contact, fast and high precision. Using the cameras as the displacement sensor, the deflection of the large-scale structure can be obtained by detecting and tracking the targets on the structure . However, the existing vision-based measurement methods were typically proposed based on the assumption that the sensor is completely stationary, which is difficult to establish in practical engineering. Natural disasters and construction disturbances will cause instability of the measurement platform, affect the measurement accuracy and even lead to a measurement failure. This paper presents a new measurement method based on multi-camera vision system. Based on the proposed method, the problem of large-scale space-time multi-point high-precision dynamic measurement under the unstable condition of the measurement sensors can be effectively solved. The corresponding vision measurement system for static and dynamic displacement is developed. Several field tests were carried out to validated the proposed system. The system can be used for the high-precision detection and long-term monitoring of large-scale structure.


Yuhong Wan
Beijing University of Technology, China

Prof.Yuhong Wan is faculty of Beijing University of Technology,who has ever won the honors of the distinguished teachers of Beijing University of Technology, outstanding personnel of Beijing municipal government etc. Her research interests focus on holography and optical information processing,three dimensional imaging and display, computional imaging, flurencence self-interfence super- resolution microscopy etc.

Speech title: Development of Incoherent Coded Aperture Correlation HolographyToward three-dimensional, high-quality, fast and large axial range imaging

Abstract: High-throughput three-dimensional (3D) imaging is important in various applications, for example, the visualization of dynamics in cells and thick biological tissues. However, it still remains a challenge to image the 3D sample with high-quality with fast imaging speed and within a large axial range. The limitation mainly arises from the fact that scanning is usually required in the existing 3D imaging techniques. In this talk, we will present our recent progress toward 3D high quality, fast and large axial range imaging, by the developments and improvements of the incoherent coded aperture correlation holography. Specifically, the imaging quality of the system is improved by the simultaneous optimization designs on the phase encoding mask and nonlinear reconstruction algorithm. In the purpose of single-exposure 3D imaging, object-hologram-only 3D imaging is discussed, by using a well-trained deep neural network in the incoherent correlation holographic system. On the other hand, the axial imaging range of the system is extended, by implementing a custom-designed phase mask in the system. Our results have demonstrated that all the attempts push the incoherent correlation holography toward important applications in the fields including biology and life sciences.


Zhenyu Jiang
South China University of Technology, China

Dr. Zhenyu Jiang is a professor of South China University of Technology, China. He received his bachelor and doctor degrees in the University of Science and Technology of China. His research interests include experimental mechanics, image based non-destructive deformation measurement, and mechanical behavior of advanced engineering composites. He has authored and co-authored over 100 research articles in academic journals and 7 patents.

Speech title: Image feature guided digital image correlation

Abstract: Digital image correlation has been widely employed to measure the motion and deformation of solid materials. In this method, displacement field can be precisely determined by tracking the change in natural texture or artificial pattern on target surface before and after motion/deformation. Image feature, as an abstract of regional information extracted from image, can be used to guide image matching and registration, which lay the basis for digital image correlation. Some robust image features, such as the one extracted and described by the scale-invariant feature transform (SIFT) algorithm, demonstrate outstanding adaptability to large and complex deformation of image. The deformation estimated according to matched image features can be fed as initial guess into iterative grayscale matching-based procedure, to endow digital image correlation with the excellent capability to handle some challenging cases. This talk demonstrates the principle and implementation of image feature guided digital image/volume correlation to achieve high robustness, accuracy and computational efficiency.


Ziji Liu
University of Electronics Science and Technology of China, China

"Ziji Liu graduated from Sichuan University, Mater degree and Phd degree from University of Electronic Science and Technology of China. He used to work as a Postdoctoral researcher in University of California, Berkeley at Computational Imaging Lab, and now is a professor in University of Electronic Science and Technology of China. His research interests are Quantitative Phase Imaging, Fourier Ptychography, and structured illumination microscopy."

Speech title: Wide-field high resolution phase imaging in vitro microscopy

Abstract: We demonstrate a computational illumination technique that achieves a large space–bandwidth–time product, for quantitative phase imaging of unstained live samples in vitro. Microscope lenses can have either a large field of view (FOV) or high resolution, and not both. Fourier ptychographic microscopy (FPM) is a computational imaging technique that circumvents this limit by fusing information from multiple images taken with different illumination angles. The result is a gigapixel-scale image having both a wide FOV and high resolution, i.e., a large space–bandwidth product. FPM has enormous potential for revolutionizing microscopy and has already found application in digital pathology. However, it suffers from long acquisition times (of the order of minutes), limiting throughput. Faster capture times would not only improve the imaging speed, but also allow studies of live samples, where motion artifacts degrade results. In contrast to fixed (e.g., pathology) slides, live samples are continuously evolving at various spatial and temporal scales. Here, we present a new source coding scheme, along with real-time hardware control, to achieve 0.8 NA resolution across a 4× FOV with subsecond capture times. We propose an improved algorithm and a new initialization scheme, which allow robust phase reconstruction over long time-lapse experiments. We present the first FPM results for both growing and confluent in vitro cell cultures, capturing videos of subcellular dynamical phenomena in popular cell lines undergoing division and migration. Our method opens up FPM to applications with live samples, for observing rare events in both space and time.


Zonghua Zhang
Hebei University of Technology, China

Zonghua Zhang is a full professor in the School of Mechanical Engineering, Hebei University of Technology, Tianjin, China. He received his Ph.D. degree from Tianjin University, Tianjin, China, in 2000. He worked in Ruhr University Bochum of Germany, Queen’s University of Canada, Heriot-Watt University, University of Leeds, and University of Huddersfield of UK. His main research interests include 3D optical measurement, fringe projection profilometry, and phase measuring deflectometry. He has published more than 190 papers. From 2016 to 2018, he was an EU Marie Curie Individual Fellow in University of Huddersfield of UK. He is an Associate Editor for《Optics Express》, Editorial Board Member for 《Visual Intelligence》, 《Scientific Reports》,《Infrared and Laser Engineering》.

Speech title: 3D shape measurement of diffused/specular surface by combining fringe projection and phase measuring deflectometry

Abstract: Three-dimensional (3D) data of object surfaces, like a precision machine part, play an important role in the fields of aerospace, automotive industry, augmented reality, heritage preservation, smart city, etc. The existing fringe projection profilometry and deflectometry can only measure the 3D shape of diffused and specular surfaces, respectively. However, there are many components having both diffused and specular surfaces. It is a challenging problem to simultaneously measure their 3D shape accurately. In this talk, we will present a novel method for measuring the 3D shape of diffused/specular surfaces by combining fringe projection profilometry and phase measuring deflectometry. A mathematical model has been derived to directly build up the relationship between the depth and absolute phase data for diffused/specular surfaces. Then, after calibrating the system parameters in the mathematical model, the shape information of the tested objects can be constructed in the same coordinate system from the captured deformed fringes. The digital light processing (DLP) projector and liquid crystal display (LCD) screen simultaneously project and display fringe patterns through red, green and blue channels. The deformed fringe patterns are captured by a color camera from a different viewpoint to improve measurement efficiency. Experimental studies are conducted with an artificial diffused/specular step having diffused/specular surfaces to verify the measurement accuracy. The results on several objects show that the proposed method can measure diffused/specular surfaces effectively with certain accuracy. Error sources are also analyzed to improve the measurement accuracy.


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