Deep empirical neural network for optical phase retrieval over a scattering medium

H Tu, H Liu, T Pan, W **e, Z Ma, F Zhang, P Xu… - Nature …, 2025 - nature.com
Supervised learning, a popular tool in modern science and technology, thrives on huge
amounts of labeled data. Physics-enhanced deep neural networks offer an effective solution …

Unsupervised reconstruction with a registered time-unsheared image constraint for compressed ultrafast photography

H Zhou, Y Song, Z Yao, D Hei, Y Li, B Duan, Y Liu… - Optics …, 2024 - opg.optica.org
Compressed ultrafast photography (CUP) is a computational imaging technology capable of
capturing transient scenes in picosecond scale with a sequence depth of hundreds of …

[PDF][PDF] 基于 DMD 调制的结构光照明超分辨和光切片显微技术研究进展 (特邀)

马旺, 千佳, 王思颖, 马睿, **星, 党诗沛… - Laser & …, 2024 - researching.cn
摘要将普通光学显微镜的均匀照明替换为光场具有空间结构分布的照明, 可为显微镜增添超分辨
和光切片的新功能. 结构光照明显微(SIM) 技术与传统宽场光学显微镜具有良好的结构兼容性 …

Untrained neural network enabling fast and universal structured-illumination microscopy

Z Ye, X Li, Y Sun, Y Huang, X Liu, Y Han, C Kuang - Optics Letters, 2024 - opg.optica.org
Structured-illumination microscopy (SIM) offers a twofold resolution enhancement beyond
the optical diffraction limit. At present, SIM requires several raw structured-illumination (SI) …

High-speed super-resolution structured illumination microscopy with a large field-of-view

M Guo, Y Yao, Z Huang, Y He, B Cheng, D Qi… - Optics …, 2024 - opg.optica.org
Structured illumination microscopy (SIM) has been extensively employed for observing
subcellular structures and dynamics. However, achieving high-speed super-resolution SIM …

Approaching maximum resolution in structured illumination microscopy via accurate noise modeling

A Saurabh, PT Brown, JS Bryan IV, ZR Fox, R Kruithoff… - npj Imaging, 2025 - nature.com
Biological images captured by microscopes are characterized by heterogeneous signal-to-
noise ratios (SNRs) due to spatially varying photon emission across the field of view …

Approaching Maximum Resolution in Structured Illumination Microscopy via Accurate Noise Modeling

A Saurabh, PT Brown, JS Bryan IV, ZR Fox… - …, 2024 - pmc.ncbi.nlm.nih.gov
Biological images captured by microscopes are characterized by heterogeneous signal-to-
noise ratios (SNRs) due to spatially varying photon emission across the field of view …

[PDF][PDF] Video-level and high-fidelity super-resolution SIM reconstruction enabled by deep learning

H Ye, Z Ye, Y Chen, J Zhang, X Liu, C Kuang… - Advanced …, 2024 - researching.cn
Structure illumination microscopy (SIM) imposes no special requirements on the fluorescent
dyes used for sample labeling, yielding resolution exceeding twice the optical diffraction limit …

Untrained neural network enables fast and universality structured illumination microscopy

Z YE, X LI, Y SUN, Y HUANG, XU LIU, Y HAN… - 2024 - opg.optica.org
Structured illumination microscopy (SIM) offers a twofold resolution enhancement beyond
the optical diffraction limit. At present, SIM requires several raw structured-illumination (SI) …