About Light Conference Week 2023

Highlighted by UNESCO’s International Day of Light, 2023 Light Conference Week (in person conference) is hosted by CIOMP - Chinese Academy of Sciences, IEEE Photonics Society and China Science Daily, and organized by Light Publishing Group, ScienceNet.cn and iCANX, taking place from August 11-16, 2023 in Changchun, China.

 

2023 Light Conference week consists of Plenary session, Ceremony of Wang Daheng’s Optical Prizes and Light 10 Social Influence Events, Light Doctoral League, invited sessions on Laser manufacturing and processing/Micro and nano photonics/Optical imaging and metrology/Optical communications and devices/Next-generation optics-related technologies/Terahertz technologies. With 2023 Light Conference week, we hope to resonate with UNESCO’s International Day of Light, contribute to the wellbeing of optics community, highlight the frontiers of optics and photonics, showcase the industrial advances in optoelectronics, and incubate a platform for optical innovations and talents.


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Important Dates

  • Paper Submission Deadline

    June 20, 2023

  • Acceptance Notification

    July 5, 2023

  • Early-Bird Registration Deadline

    July 31, 2023

Plenary Talk Keynote Talk

Andrea Alu

The City University of New York, USA

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Andrea Alu

The City University of New York, USA

Qingming Luo

Hainan University, China

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Qingming Luo

Hainan University, China

Tiejun Cui

Southeast University, China

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Tiejun Cui

Southeast University, China

Ying Gu

Chinese PLA General Hospital

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Ying Gu

Chinese PLA General Hospital

Yuri Kivshar

The Australian National University, Australia

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Yuri Kivshar

The Australian National University, Australia

Ge Zhang

CIOMP,ChineseAcademy of Sciences

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Ge Zhang

CIOMP,ChineseAcademy of Sciences

Liwei Liu

Shenzhen University

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Liwei Liu

Shenzhen University

Peng Xue

Beijing Computational Science Research Center

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Peng Xue

Beijing Computational Science Research Center

Chunlei Guo

University of Rochester, USA

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Chunlei Guo

University of Rochester, USA

Lin Li

Ningbo Institute of Materials Technology and Engineering, CAS, China

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Lin Li

Ningbo Institute of Materials Technology and Engineering, CAS, China

Minghui Hong

Xiamen University, China

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Minghui Hong

Xiamen University, China

Min Qiu

Westlake University, China

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Min Qiu

Westlake University, China

Din Ping Tsai

City University of Hong Kong, China

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Din Ping Tsai

City University of Hong Kong, China

Harald Giessen

University of Stuttgart, Germany

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Harald Giessen

University of Stuttgart, Germany

Shuang Zhang

University of Hong Kong, China

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Shuang Zhang

University of Hong Kong, China

Juergen Czarske

TU Dresden, Germany

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Fiber endoscopy using structured light, 3D-printed holograms, and deep learning for minimally invasive lensless imaging

Juergen Czarske

TU Dresden, Germany

Light has the potential to recognize the origins of diseases, enabling to prevent them, or to cure them early and gently. The early diagnosis is the key to improve the survival rate of patients. Endoscopy plays an important role in diagnosis as it offers keyhole access. However, conventionally it takes several hours to a few days for the surgeon to know the results. Optical histopathology offers real-time intraoperative diagnosis without tissue removal.

We present lensless imaging with multicore fibers using deep neural networks and wavefront shaping with femtosecond laser-based 3D printed holograms. The peculiar features are 3D imaging without pixelation and tiny diameters of only a few 100 microns, crucial for neurosurgery. The well-trained resolution enhancement network helps improving tumor recognition rate. It is promising for minimally invasive intraoperative diagnostics of cancer in neurosurgery using virtual staining.

The use of multi-core fibers as programmable wavefront shaping with deep learning for eliminating artifacts is attractive for the emerging label-free tomography of rotated cells and organoids, derived from human induced pluripotent stem cells. The computational lensless multi-core fiber endoscopy paves the way for minimally invasive diagnostics in biomedicine.


Xingde Li

Johns Hopkins University, USA

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Low-coherence Biophotonics for the Brain

Xingde Li

Johns Hopkins University, USA

Xingde Li received his Ph.D. degree in physics from UPENN in 1998, and he is a professor at the Department of BME with a joint appointment with the Departments of ECE and Oncology at the Johns Hopkins University. His research centers on biophotonics imaging technologies and their translational and basic research applications. He has published about 140 peer-reviewed journal papers, with a total citation ~21,500 and an H-index~62 (Google Scholar). He has served on many committees of various societies and has chaired many international conferences including the Optical Biomed Congress. He is serving (or served) as a topical editor or associate editor for Optics Letters, Biomedical Optics Express, Journal of Biomedical Optics, IEEE Trans on BME, Light: Science and Applications etc. He is also the lead founding EiC for the recently launched AAAS Science Partner Journal – BMEF (Biomedical Engineering Frontiers). He is a fellow of SPIE, OSA, and AIMBE

Guilu Long

Tsinghua University, China

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Guilu Long

Tsinghua University, China

Andries Meijerink

Utrecht University, Netherlands

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Andries Meijerink

Utrecht University, Netherlands

Zhigang Chen

Nankai University, China

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Zhigang Chen

Nankai University, China

Shin-Tson Wu

University of Central Florida, USA

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Shin-Tson Wu

University of Central Florida, USA

Manijeh Razeghi

North western University, USA

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Manijeh Razeghi

North western University, USA

Xi-Cheng Zhang

University of Rochester, USA

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Xi-Cheng Zhang

University of Rochester, USA

Jianli Wang

CIOMP, CAS, China

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Jianli Wang

CIOMP, CAS, China

Dayong Jin

University of Technology Sydney, Australia

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Dayong Jin

University of Technology Sydney, Australia

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