output
19992025
most citedA systematic study of the class imbalance problem in convolutional neural networks

3.1k citations

Showing physics.opticsShow all

5 papers · 1 filter

physics.optics2024★ 13 cited

Rapid 3D imaging at cellular resolution for digital cytopathology with a multi-camera array scanner (MCAS)

Kanghyun Kim, Amey Chaware, Clare B. Cook +16

Optical microscopy has long been the standard method for diagnosis in cytopathology. Whole slide scanners can image and digitize large sample areas automatically, but are slow, exp…

physics.optics2023★ 20 cited

Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging

Shiqi Xu, Xiang Dai, Paul Ritter +11

We report Tensorial tomographic Fourier Ptychography (ToFu), a new non-scanning label-free tomographic microscopy method for simultaneous imaging of quantitative phase and anisotro…

physics.optics2022★ 31 cited

Computational 3D microscopy with optical coherence refraction tomography

Kevin C. Zhou, Ryan P. McNabb, Ruobing Qian +4

Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastr…

physics.optics2021★ 7 cited

High-speed multiview imaging approaching 4pi steradians using conic section mirrors: theoretical and practical considerations

Kevin C. Zhou, Al-Hafeez Dhalla, Ryan P. McNabb +3

Illuminating or imaging samples from a broad angular range is essential in a wide variety of computational 3D imaging and resolution-enhancement techniques, such as optical project…

physics.optics2020★ 29 cited

Unified k-space theory of optical coherence tomography

Kevin C. Zhou, Ruobing Qian, Al-Hafeez Dhalla +2

We present a general theory of optical coherence tomography (OCT), which synthesizes the fundamental concepts and implementations of OCT under a common 3D k-space framework. At the…