67 citations · 509 across the 31 of their papers we have counts for
31 papers
Universal Function Approximation via Diffractive Optical Processors: Physical Limits, Error Bounds, and Learnability
Md Sadman Sakib Rahman, Che-Yung Shen, Aydogan Ozcan
We present a unified theoretical framework connecting classical universal approximation theory, Fourier-feature approximation, and diffractive optical processors. We show that phas…
Optical Fourier Surfaces for Free-Space Computer-Generated Holography
Y. M. Glauser, C. -Y. Shen, D. B. Seda +10
Computer-generated holography can shape electromagnetic fields by encoding wavefront information in nanostructured surfaces. However, despite significant progress, hologram designs…
Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network
Che-Yung Shen, Yuhang Li, Cagatay Isil +3
We introduce a wavelength-addressable diffractive optical network that transforms illumination wavelength into a high-dimensional control parameter for arbitrarily programmable 2D…
Wavelength-multiplexed massively parallel diffractive optical information storage and image projection
Che-Yung Shen, Yuhang Li, Cagatay Isil +7
We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength…
Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor
Xiao Wang, Yiyang Wu, Yuntian Wang +8
Despite offering high sensitivity, a high signal-to-noise ratio, and a broad spectral range, single-pixel imaging (SPI) is limited by low measurement efficiency and long data-acqui…
Interleaved diffractive networks for information transfer through random diffusers
Yuhang Li, Yiyang Wu, Shiqi Chen +2
Transferring optical information through random diffusers is a critical yet challenging task. In this work, we introduce a cascaded diffractive optical network for information tran…
Snapshot 3D image projection using a diffractive decoder
Cagatay Isil, Alexander Chen, Yuhang Li +4
3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diffraction-induced cros…
Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning
Xinghe Jiang, Yuhang Li, Yuzhu Li +3
Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand…
Massively parallel and universal approximation of nonlinear functions using diffractive processors
Md Sadman Sakib Rahman, Yuhang Li, Xilin Yang +2
Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak…
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization
Yuhang Li, Shiqi Chen, Tingyu Gong +1
Optical computing holds promise for high-speed, energy-efficient information processing, with diffractive optical networks emerging as a flexible platform for implementing task-spe…
Universal point spread function engineering for 3D optical information processing
Md Sadman Sakib Rahman, Aydogan Ozcan
Point spread function (PSF) engineering has been pivotal in the remarkable progress made in high-resolution imaging in the last decades. However, the diversity in PSF structures at…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
Broadband Unidirectional Visible Imaging Using Wafer-Scale Nano-Fabrication of Multi-Layer Diffractive Optical Processors
Che-Yung Shen, Paolo Batoni, Xilin Yang +6
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum, where image formation occurs in one direction while in…
Unidirectional focusing of light using structured diffractive surfaces
Yuhang Li, Tianyi Gan, Jingxi Li +2
Unidirectional optical systems enable selective control of light through asymmetric processing of radiation, effectively transmitting light in one direction while blocking unwanted…
Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining
Danny Barash, Emilie Manning, Aidan Van Vleck +10
Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to an…
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…
Programming of refractive functions
Md Sadman Sakib Rahman, Tianyi Gan, Mona Jarrahi +1
Snell's law dictates the phenomenon of light refraction at the interface between two media. Here, we demonstrate arbitrary programming of light refraction through an engineered mat…
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…
Integration of Programmable Diffraction with Digital Neural Networks
Md Sadman Sakib Rahman, Aydogan Ozcan
Optical imaging and sensing systems based on diffractive elements have seen massive advances over the last several decades. Earlier generations of diffractive optical processors we…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai +12
Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis.…
Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor
Che-Yung Shen, Jingxi Li, Tianyi Gan +4
Quantitative phase imaging (QPI) is a label-free technique that provides optical path length information for transparent specimens, finding utility in biology, materials science, a…
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Xilin Yang, Bijie Bai, Yijie Zhang +8
Systemic amyloidosis is a group of diseases characterized by the deposition of misfolded proteins in various organs and tissues, leading to progressive organ dysfunction and failur…
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…