Latest News | MOL

Open Positions: Postdoctoral Fellows at Matrix Optics Laboratory

Fri, 27 Feb 2026 00:00:00 +0000

招聘启事：上海交通大学矩阵光学实验室博士后

上海交通大学**矩阵光学实验室（Matrix Optics Laboratory）**现诚聘 2名博士后，诚邀海内外优秀青年学者加盟。

研究方向：光学成像、量子光学、深度学习、光计算等相关领域。
薪酬待遇：年薪 34万人民币。实验室将提供一流的科研平台、充足的经费支持及广阔的职业发展空间。
应聘方式：有意向者请将个人简历发送至实验室负责人 苗鹏副教授 邮箱：pengmiao@sjtu.edu.cn。

Recruitment: Postdoctoral Fellow Positions at Matrix Optics Laboratory

The Matrix Optics Laboratory at Shanghai Jiao Tong University is seeking 2 motivated Postdoctoral Fellows to join our team.

Research Areas: Optical Imaging, Quantum Optics, Deep Learning, Optical Computing, and related fields.
Compensation: A competitive salary of 340,000 RMB per year will be provided. We offer a vibrant research environment with cutting-edge facilities and ample funding support.
How to Apply: Interested candidates should send their CV and a brief statement of research interests to the Principal Investigator, Associate Professor Peng Miao, at pengmiao@sjtu.edu.cn.

Computational Optics Wavefront Sensing and Phase Imaging Technology

Sun, 28 Dec 2025 00:00:00 +0000

On December 28, 2025, we were honored to host Prof. Liangcai Cao from the Department of Precision Instruments at Tsinghua University for an academic seminar titled “Computational Optics Wavefront Sensing and Phase Imaging Technology.”

Prof. Cao is a renowned expert in holographic display and computational imaging. During his presentation, he shared his group’s latest breakthroughs in integrating physical models with neural networks, specifically highlighting:

Propagation-Adaptive Holography: Utilizing physics-constrained spatial and Fourier neural operators to achieve high-fidelity 4K computer-generated holography.
Computational Wavefront Sensing: Implementing high-resolution wavefront characterization for complex wavefields in biological imaging.
Physics-Informed Deep Learning: Applications in adaptive aberration-corrected quantitative phase microscopy to overcome traditional imaging limits.

The seminar sparked extensive discussions among our group members regarding the intersection of random matrix theory and holographic reconstruction. We sincerely thank Prof. Cao for his profound insights and the valuable academic exchange.

Optical Coherence Tomography: Technology and Applications

Thu, 04 Dec 2025 00:00:00 +0000

On December 4, 2025, our group was honored to host Prof. [cite_start]Zhihua Ding from the College of Optical Science and Engineering at Zhejiang University for an academic seminar titled “Optical Coherence Tomography: Technology and Applications”.

[cite_start]Prof. Ding is a distinguished expert in biomedical photonics, with extensive research experience at institutions such as Shizuoka University and the Beckman Laser Institute at UC Irvine. [cite_start]During the seminar, he discussed the transformative potential of Optical Coherence Tomography (OCT) as a label-free, high-resolution, and high-speed 3D imaging modality for both biomedical and industrial sectors. Key highlights of his presentation included:

Ultra-deep 3D OCT Imaging: Latest research achievements in achieving superior imaging depth within highly turbid media.
[cite_start]Clinical Diagnostics: Progress in utilizing fiber-probe-based quantitative OCT for the detection of cervical cancer.
[cite_start]System Innovation: Development of advanced multimodal systems, such as intravascular ultrasound-OCT endoscopes and multi-scale brain imaging devices.

[cite_start]The session concluded with an engaging discussion on breaking the current limits of optical imaging depth to open new frontiers in scientific research and medical applications. [cite_start]We thank Prof. Ding for his inspiring presentation and his contribution to the advancement of OCT technologies.

Deep Holography, Quantum Imaging and Lensless 3D Endomicroscopy towards Advances in Biomedicine

Thu, 09 Oct 2025 00:00:00 +0000

On October 9, 2025, we were honored to host Prof. [cite_start]Juergen Czarske from the Dresden University of Technology (TUD), Germany, for an inspiring academic seminar titled “Deep Holography, Quantum Imaging and Lensless 3D Endomicroscopy towards Advances in Biomedicine”[cite: 1, 3].

[cite_start]Prof. Czarske is a Fellow of OPTICA, SPIE, and several other prestigious societies, and the recipient of the 2024 SPIE Dennis Gabor Award in Diffractive Optics[cite: 13, 15]. [cite_start]During the seminar, he presented a paradigm shift in biomedical imaging, moving from traditional bulky lens-based systems to lensless fiber endoscopes enabled by computational imaging[cite: 7, 8]. Key highlights included:

Physics-Informed Deep Learning: Exploiting speckle patterns to achieve high-fidelity 3D imaging and virtual staining of cancer cells[cite: 8, 9, 10].
[cite_start]Quantum Imaging Perspectives: Discussing the potential of using entangled photons and teleportation for advanced biomedical sensing[cite: 11].
[cite_start]Clinical Potential: How these advancements can detect and prevent disease development through early and gentle diagnostics[cite: 6].

[cite_start]The presentation sparked deep discussions on the intersection of deep holography and our group’s work in random matrix theory[cite: 12]. [cite_start]We thank Prof. Czarske for his insightful talk and for fostering international academic exchange between TUD, SIOM, and our laboratory[cite: 3, 5].

Snapshot Compressive Imaging: From Theory to Applications

Fri, 21 Mar 2025 00:00:00 +0000

On March 21, 2025, our group was honored to host Prof. Xin Yuan from the School of Engineering at Westlake University for an engaging academic seminar titled “Snapshot Compressive Imaging: From Theory to Applications.”

Prof. Yuan is a leading expert in the field of computational imaging and compressive sensing. During his presentation, he provided a comprehensive overview of his team’s significant contributions to Snapshot Compressive Imaging (SCI), focusing on:

Hardware-Algorithm Co-design: Innovative architectures for capturing high-dimensional data (video, hyperspectral) using 2D detectors through coded apertures.
Deep Learning for SCI: The transition from traditional optimization-based reconstruction to state-of-the-art deep learning models (such as PnP-ADMM and Transformers) for real-time, high-quality recovery.
Clinical and Industrial Applications: How SCI technology is revolutionizing ultra-high-speed photography and biomedical imaging, providing new tools for observing fast-evolving biological processes.

The seminar concluded with an interactive session where members of the Random Matrix Optics Research Group (RMORG) discussed the potential of combining SCI with statistical optics to tackle deep-tissue imaging challenges. We extend our gratitude to Prof. Yuan for sharing his visionary work.

经自然腔道介入机器人：规划、导航与在体诊断

Fri, 14 Mar 2025 00:00:00 +0000

顾运教授来我课题组讲座

欢迎顾运教授来我校进行《经自然腔道介入机器人：规划、导航与在体诊断》的讲座

远场超分辨非线性成像

Tue, 11 Mar 2025 00:00:00 +0000

万文杰教授来我课题组讲座

欢迎袁鑫教授来我校进行《远场超分辨非线性成像》的讲座

DMD高速高精度光场调控技术及应用

Fri, 28 Feb 2025 00:00:00 +0000

杨佳苗教授来我课题组讲座

欢迎杨佳苗教授来我校进行《DMD高速高精度光场调控技术及应用》的讲座

Danlei Qiao Successfully Graduates from the Research Group

Thu, 21 Nov 2024 00:00:00 +0000

Danlei Qiao Successfully Graduates from the Research Group

Danlei Qiao’s Graduation in the Research of Optical Coherence Tomography Imaging Grounded on K-Space Random Matrix Description

Yong Guo Successfully Graduates from the Research Group

Thu, 21 Nov 2024 00:00:00 +0000

Yong Guo Successfully Graduates from the Research Group

Yong Guo’s Graduation in the Research of The Design and Application of Multispectral Endoscopy for Tissue Functional Imaging

功能OCTA成像技术及应用研究

Fri, 27 Sep 2024 00:00:00 +0000

李鹏教授来我校讲座

欢迎李鹏教授来我校进行《功能OCTA成像技术及应用研究》的讲座

光学内窥成像技术研究及临床应用

Tue, 14 May 2024 00:00:00 +0000

杨西斌教授来我校讲座

欢迎杨西斌教授来我校进行《光学内窥成像技术研究进展及临床应用》的讲座

Deep fluorescence imaging in complex media,wavefront shaping meets computational imaging

Tue, 02 Apr 2024 00:00:00 +0000

Prof Sylvain Gigan delivered an inspiring lecture online

Welcome Prof Sylvain Gigan delivered the lecture 《Deep fluorescence imaging in complex media,wavefront shaping meets computational imaging》