354 citations · 1.6k across the 30 of their papers we have counts for
11 papers · 1 filter
Data class-specific all-optical transformations and encryption
Bijie Bai, Heming Wei, Xilin Yang +2
Diffractive optical networks provide rich opportunities for visual computing tasks since the spatial information of a scene can be directly accessed by a diffractive processor with…
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…
Deep Learning-enabled Virtual Histological Staining of Biological Samples
Bijie Bai, Xilin Yang, Yuzhu Li +3
Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromat…
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…
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
Yi Luo, Bijie Bai, Yuhang Li +2
Classification of an object behind a random and unknown scattering medium sets a challenging task for computational imaging and machine vision fields. Recent deep learning-based ap…
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang, Bijie Bai, Yijie Zhang +4
Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlig…
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu +5
Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming,…
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…
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Bijie Bai, Yi Luo, Tianyi Gan +6
Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing…
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor
Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir +9
Early detection and identification of pathogenic bacteria such as Escherichia coli (E. coli) is an essential task for public health. The conventional culture-based methods for bact…
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Yuhang Li, Yi Luo, Bijie Bai +1
Imaging through diffusive media is a challenging problem, where the existing solutions heavily rely on digital computers to reconstruct distorted images. We provide a detailed anal…