News
2025
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中国光学
可微分成像解锁全链路优化
在计算成像领域，不确定性长期制约技术发展。为突破传统技术桎梏，香港大学ISL实验室在Edmund Y. Lam教授的带领下，联合四川大学、清华大学的科研团队展开协同攻关，成功研发出不确定性感知傅里叶叠层成像（Uncertainty-Aware Fourier Ptychography，UA-FP）技术。该技术借助可微分编程，同步构建多种系统不确定性模型，摆脱对复杂校准的依赖。面对系统失准、光学像差或低质量数据等情况，它能同步优化图像内容与系统参数，实现高质量重建，显著提升成像精度。凭借创新的不确定性管理策略，UA-FP 在生物成像、遥感、半导体检测等领域实现重要技术突破。 -
meeting.tencent.com
I gave a talk on Differentiable Imging at GBU.
基于腾讯20多年音视频通讯经验，腾讯会议提供一站式音视频会议解决方案，让您能随时随地体验高清流畅的会议以及会议协作。
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Bioengineer.org
Uncertainty-Aware Breakthrough in Fourier Ptychography
On the ever-evolving landscape of optical imaging, a transformative leap has emerged from the realm of computational microscopy. Researchers have now unveiled a groundbreaking approach that ushers in a new era for Fourier ptychography, infusing it with an unprecedented level of uncertainty-awareness. This advancement heralds significant implications for high-resolution imaging, pushing the boundaries of what is achievable in complex optical environments. The work, recently published in Light: Science & Applications, addresses long-standing challenges in reconstructing high-fidelity images where noise, measurement errors, and system imperfections have historically limited performance. -
HKU EEE
HKU Engineering Research Team Develops A Differentiable Paradigm for Resilient Computational Imaging
HKU Engineering highlights an uncertainty-aware, differentiable framework (UA-FP) that models system imperfections without complex calibration, enabling robust, high-quality reconstructions under real-world conditions. -
可微分成像解锁全链路优化
在计算成像领域，不确定性长期制约技术发展。为突破传统技术桎梏，香港大学ISL实验室在Edmund Y. Lam教授的带领下，联合四川大学、清华大学的科研团队展开协同攻关，成功研发出不确定性感知傅里叶叠层成像（Uncertainty-Aware Fourier Ptychography，UA-FP）技术。该技术借助可微分框架与自动微分方法，同步构建多种系统不确定性模型，摆脱对复杂校准的依赖。面对系统失准、光学像差或低质量数据等情况，它能同步优化图像内容与系统参数，实现高质量重建，显著提升成像精度。凭借创新的不确定性管理策略，UA-FP 在生物成像、遥感、半导体检测等领域实现重要技术突破。 -
Nature Research Communities
Behind the Paper: Uncertainties and Differentiable Imaging
After completing my BS in computer science, I transitioned to optical engineering for graduate school—but my body seemed to rebel against the very environment I'd chosen. Every time I entered the lab, waves of nausea, headaches, and dizziness would overwhelm me. After months of this mysterious suffering, I reached a dramatic conclusion: I must be allergic to lasers. -
EurekAlert
Uncertainty-aware Fourier Ptychography: A differentiable paradigm for resilient computational imaging
Powered by differentiable imaging, Uncertainty - Aware Fourier Ptychography (UA - FP) revolutionizes computational imaging. It models uncertainties without complex calibration, enabling high - quality reconstructions de… -
SPIE
Invited talk at SPIE Photonics West 2025, San Francisco, USA
Access SPIE's growing collection of conference proceeding papers from around the globe. Browse by the latest conferences or optics-based technology. 2024
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OPTICA
Invited talk at FiO Congress 2021, Virtual, Canada
WARNING: Fake DOI schemes Learn more -
OPTICA
Invited talk at FiO Congress 2024, Denver, USA
We show that differentiable holography allows for inline single-shot complex field imaging, high-performance pixel super-resolution lensless imaging, and denser volumetric particle velocimetry in a single shot. -
b2b.csoe.org.cn
Keynote Speech at CITA 2024, Xiamen, China
Computational Imaging Conference 2024 -
www.spie.org
Invited talk at ODF‘24, Tucson, USA
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OPTICA
Invited talk at CLEO 2024, Charlotte, USA.
2023
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2022
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Optica OPN
Senior Member Insights: Ni Chen (Optica OPN)
In this installment of Senior Member Insights, OPN talks with Ni Chen, a researcher at the King Abdullah University of Science and Technology, Saudi Arabia. Chen received her B.S. degree in software engineering from Harbin Institute of Technology, China, in 2008. She received an M.S. in electrical engineering from Chungbuk National University, Republic of Korea, in 2010 and a Ph.D. in electrical engineering from Seoul National University, Republic of Korea, in 2014. -
OPTICA
Invited talk at Imaging Congress 2022, Vancouver, Canada
2021
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Phys.org
Harnessing the particle-tracking power of the algorithm
By replacing a complex hardware setup with simple hardware paired with optimized image processing, researchers from KAUST have developed a faster and more accurate three-dimensional (3D) particle-tracking system. -
KAUST Discovery
Harnessing the particle-tracking power of the algorithm
KAUST researchers have developed a sophisticated image processing algorithm that can achieve faster and more accurate reconstructions of particle flow. -
Harnessing the particle-tracking power of the algorithm
A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow. -
Ni Chen
Holo-Flow paper got acepted by Laser and Photonics Reviews!
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ieeexplore.ieee.org
Model-based HoloNet got accepted by IEEE TCI!
Model-based 3D holographic imaging: Gabor holography is a simple and effective approach for 3D imaging. However, it suffers from a DC term, twin-image entanglement, and defocus noise. The conventional approach for solving this problem is either using an off-axis setup, or compressive holography. The former sacrifices simplicity, and the latter is computationally demanding and time consuming. To cope with this problem, we propose a model-based holographic network (MB-HoloNet) for 3D particle imaging. The free-space point spread function, which is essential for hologram reconstruction, is used as a prior in the MB-HoloNet. All parameters are learned end-to-end. The physical prior makes the network efficient and stable for both localization and 3D particle size reconstructions. Project page
