206 citations · 210 across the 4 of their papers we have counts for
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Wide-Field, High-Resolution Reconstruction in Computational Multi-Aperture Miniscope Using a Fourier Neural Network
Qianwan Yang, Ruipeng Guo, Guorong Hu +3
Traditional fluorescence microscopy is constrained by inherent trade-offs among resolution, field-of-view, and system complexity. To navigate these challenges, we introduce a simpl…
Acousto-optic Ptychography
Moriya Rosenfeld, Daniel Doktofsky, Gil Weinberg +3
Acousto-optic imaging (AOI) enables optical-contrast imaging deep inside scattering samples via localized ultrasound-modulation of scattered light. While AOI allows optical investi…
Displacement-agnostic coherent imaging through scatter with an interpretable deep neural network
Yuzhe Li, Shiyi Cheng, Yujia Xue +1
Coherent imaging through scatter is a challenging task in computational imaging. Both model-based and data-driven approaches have been explored to solve the inverse scattering prob…
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…