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physics.optics2024
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…
physics.optics2020
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…
physics.optics2020
Single-Shot 3D Widefield Fluorescence Imaging with a Computational Miniature Mesoscope
Yujia Xue, Ian G. Davison, David A. Boas +1
Fluorescence imaging is indispensable to biology and neuroscience. The need for large-scale imaging in freely behaving animals has further driven the development in miniaturized mi…