354 citations · 1.6k across the 30 of their papers we have counts for
8 papers · 1 filter
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…
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…
Lab-in-a-Tube: A portable imaging spectrophotometer for cost-effective, high-throughput, and label-free analysis of centrifugation processes
Yuanyuan Wei, Dehua Hu, Bijie Bai +7
Centrifuges serve as essential instruments in modern experimental sciences, facilitating a wide range of routine sample processing tasks that necessitate material sedimentation. Ho…
Broadband nonlinear modulation of incoherent light using a transparent optoelectronic neuron array
Dehui Zhang, Dong Xu, Yuhang Li +14
Nonlinear optical processing of ambient natural light is highly desired in computational imaging and sensing applications. A strong optical nonlinear response that can work under w…
Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding
Yuhang Li, Tianyi Gan, Bijie Bai +3
Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due…
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…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
Yuhang Li, Yi Luo, Deniz Mengu +2
Quantitative phase imaging (QPI) is a label-free computational imaging technique used in various fields, including biology and medical research. Modern QPI systems typically rely o…