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20182025
most citedDeep Learning-enabled Virtual Histological Staining of Biological Samples

354 citations · 1.3k across the 26 of their papers we have counts for

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Showing physics.opticsShow all

17 papers · 1 filter

physics.optics2024

Lying mirror using structured surfaces

Yuhang Li, Shiqi Chen, Bijie Bai +1

We introduce an all-optical system, termed the "lying mirror", to hide input information by transforming it into misleading, ordinary-looking patterns that effectively camouflage t…

physics.optics2024★ 19 cited

Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network

Guangdong Ma, Xilin Yang, Bijie Bai +8

Large-scale and high-dimensional permutation operations are important for various applications in e.g., telecommunications and encryption. Here, we demonstrate the use of all-optic…

physics.optics2024★ 33 cited

Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor

Jingtian Hu, Kun Liao, Niyazi Ulas Dinc +14

Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resoluti…

physics.optics2024★ 38 cited

Information hiding cameras: optical concealment of object information into ordinary images

Bijie Bai, Ryan Lee, Yuhang Li +4

Data protection methods like cryptography, despite being effective, inadvertently signal the presence of secret communication, thereby drawing undue attention. Here, we introduce a…

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★ 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…