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20112023
most citedDeep speckle correlation: a deep learning approach towards scalable imaging through scattering media

530 citations · 2.6k across the 30 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

q-bio.QM2019★ 3 cited

Inverse scattering for reflection intensity phase microscopy

Alex Matlock, Anne Sentenac, Patrick C. Chaumet +2

Reflection phase imaging provides label-free, high-resolution characterization of biological samples, typically using interferometric-based techniques. Here, we investigate reflect…

eess.IV2019★ 55 cited

SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors

Zihui Wu, Yu Sun, Alex Matlock +3

Two features desired in a three-dimensional (3D) optical tomographic image reconstruction algorithm are the ability to reduce imaging artifacts and to do fast processing of large d…

physics.optics2019★ 141 cited

High-speed in vitro intensity diffraction tomography

Jiaji Li, Alex Matlock, Yunzhe Li +3

We demonstrate a label-free, scan-free {\it intensity} diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume 3D refractive ind…

physics.optics2019★ 3 cited

Optimal illumination scheme for isotropic quantitative differential phase contrast microscopy

Yao Fan, Jiasong Sun, Qian Chen +3

Differential phase contrast microscopy (DPC) provides high-resolution quantitative phase distribution of thin transparent samples under multi-axis asymmetric illuminations. Typical…

eess.IV2019★ 206 cited

Reliable deep-learning-based phase imaging with uncertainty quantification

Yujia Xue, Shiyi Cheng, Yunzhe Li +1

Emerging deep-learning (DL)-based techniques have significant potential to revolutionize biomedical imaging. However, one outstanding challenge is the lack of reliability assessmen…