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20212025
most citedHybrid deep learning and physics-based neural network for programmable illumination computational microscopy

1 citations · 4 across the 7 of their papers we have counts for

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physics.optics2025

Differentiable Imaging Meets Adaptive Neural Dropout: An Advancing Method for Transparent Object Tomography

Delong Yang, Shaohui Zhang, Jiasong Sun +2

Label-free tomographic microscopy offers a compelling means to visualize three-dimensional (3D) refractive index (RI) distributions from two-dimensional (2D) intensity measurements…

physics.optics2024

High-space-bandwidth product characterization of metalenses with Fourier ptychographic microscopy

Chuanjian Zheng, Wenli Wang, Yanfang Ji +3

Large numerical aperture (NA) and large aperture metalenses have shown significant performance and abundant applications in biomedical and astronomical imaging fields. However, the…

physics.optics20221 cited

Fourier ptychography multi-parameter neural network with composite physical priori optimization

Delong Yang, Shaohui Zhang, Chuanjian Zheng +4

Fourier ptychography microscopy(FP) is a recently developed computational imaging approach for microscopic super-resolution imaging. By turning on each light-emitting-diode (LED) l…

physics.optics2021

Spin-dependent metalens with intensity-adjustable dual-focused vortex beams

Qun Hao, Wenli Wang, Yao Hu +3

Vortex beams with orbital angular momentum has been attracting tremendous attention due to their considerable applications ranging from optical tweezers to quantum information proc…

physics.optics2021

Fast digital refocusing and depth of field extended Fourier ptychography microscopy

G. Zhou, S. Zhang, C. Zheng +3

Fourier ptychography microscopy (FPM), sharing its roots with synthetic aperture technique and phase retrieval method, is a recently developed computational microscopic super-resol…