111 citations · 468 across the 14 of their papers we have counts for
5 papers · 1 filter
Snapshot multi-spectral imaging through defocusing and a Fourier imager network
Xilin Yang, Michael John Fanous, Hanlong Chen +6
Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical im…
Unidirectional imaging with partially coherent light
Guangdong Ma, Che-Yung Shen, Jingxi Li +8
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, f…
Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data
Michael John Fanous, Paloma Casteleiro Costa, Cagatay Isil +2
The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certa…
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging
Hanlong Chen, Luzhe Huang, Tairan Liu +1
The application of deep learning techniques has greatly enhanced holographic imaging capabilities, leading to improved phase recovery and image reconstruction. Here, we introduce a…
Recurrent neural network-based volumetric fluorescence microscopy
Luzhe Huang, Yilin Luo, Yair Rivenson +1
Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-…