176 citations · 332 across the 5 of their papers we have counts for
5 papers
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…
Characterization of exhaled e-cigarette aerosols in a vape shop using a field-portable holographic on-chip microscope
Ege Cetintas, Yi Luo, Charlene Nguyen +4
The past decade marked a drastic increase in the usage of electronic cigarettes (e-cigs). The adverse health impact of secondhand exposure due to exhaled e-cig particles has raised…
Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light
Yi Luo, Yifan Zhao, Jingxi Li +4
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-o…
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy
Yi Luo, Yichen Wu, Liqiao Li +4
Various volatile aerosols have been associated with adverse health effects; however, characterization of these aerosols is challenging due to their dynamic nature. Here we present…
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh +4
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning…