220 citations · 2.1k across the 33 of their papers we have counts for
5 papers · 1 filter
Unidirectional Imaging using Deep Learning-Designed Materials
Jingxi Li, Tianyi Gan, Yifan Zhao +5
A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, the image formation…
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network
Jingxi Li, Bijie Bai, Yi Luo +1
We report deep learning-based design of a massively parallel broadband diffractive neural network for all-optically performing a large group of arbitrarily-selected, complex-valued…
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning
Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir +8
We present a rapid and stain-free quantitative viral plaque assay using lensfree holographic imaging and deep learning. This cost-effective, compact, and automated device significa…
Super-resolution image display using diffractive decoders
Cagatay Isil, Deniz Mengu, Yifan Zhao +5
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators. We report a dee…
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Jingxi Li, Yi-Chun Hung, Onur Kulce +2
Research on optical computing has recently attracted significant attention due to the transformative advances in machine learning. Among different approaches, diffractive optical n…