activity
20192026
most citedSpectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks

220 citations · 2.1k across the 33 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

physics.optics2023★ 21 cited

All-Optical Phase Conjugation Using Diffractive Wavefront Processing

Che-Yung Shen, Jingxi Li, Tianyi Gan +2

Optical phase conjugation (OPC) is a nonlinear technique used for counteracting wavefront distortions, with various applications ranging from imaging to beam focusing. Here, we pre…

physics.optics2023★ 26 cited

Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks

Xilin Yang, Md Sadman Sakib Rahman, Bijie Bai +2

As an optical processor, a Diffractive Deep Neural Network (D2NN) utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information proc…

physics.optics2023★ 60 cited

All-optical image denoising using a diffractive visual processor

Cagatay Isıl, Tianyi Gan, F. Onuralp Ardic +9

Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers,…

physics.optics2023★ 31 cited

Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network

Che-Yung Shen, Jingxi Li, Deniz Mengu +1

As a label-free imaging technique, quantitative phase imaging (QPI) provides optical path length information of transparent specimens for various applications in biology, materials…

physics.med-ph2023★ 63 cited

Virtual histological staining of unlabeled autopsy tissue

Yuzhu Li, Nir Pillar, Jingxi Li +12

Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior s…

physics.optics2023★ 31 cited

Pyramid diffractive optical networks for unidirectional image magnification and demagnification

Bijie Bai, Xilin Yang, Tianyi Gan +4

Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational ta…

physics.optics2023★ 41 cited

Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer

Yuhang Li, Jingxi Li, Yifan Zhao +4

We demonstrate universal polarization transformers based on an engineered diffractive volume, which can synthesize a large set of arbitrarily-selected, complex-valued polarization…

physics.optics2023★ 68 cited

Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors

Md Sadman Sakib Rahman, Xilin Yang, Jingxi Li +2

Under spatially-coherent light, a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between…

physics.optics2023★ 73 cited

Rapid Sensing of Hidden Objects and Defects using a Single-Pixel Diffractive Terahertz Processor

Jingxi Li, Xurong Li, Nezih T. Yardimci +6

Terahertz waves offer numerous advantages for the nondestructive detection of hidden objects/defects in materials, as they can penetrate through most optically-opaque materials. Ho…