Search Results for author: Kanghyun Kim

Found 8 papers, 1 papers with code

Digital staining in optical microscopy using deep learning -- a review

no code implementations14 Mar 2023 Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer

Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.

Specificity

Tensorial tomographic differential phase-contrast microscopy

no code implementations25 Apr 2022 Shiqi Xu, Xiang Dai, Xi Yang, Kevin C. Zhou, Kanghyun Kim, Vinayak Pathak, Carolyn Glass, Roarke Horstmeyer

We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and anisotropy.

Increasing a microscope's effective field of view via overlapped imaging and machine learning

no code implementations10 Oct 2021 Xing Yao, Vinayak Pathak, Haoran Xi, Amey Chaware, Colin Cooke, Kanghyun Kim, Shiqi Xu, Yuting Li, Timothy Dunn, Pavan Chandra Konda, Kevin C. Zhou, Roarke Horstmeyer

This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficiency automated specimen analysis.

BIG-bench Machine Learning

Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification

no code implementations22 Oct 2019 Amey Chaware, Colin L. Cooke, Kanghyun Kim, Roarke Horstmeyer

Here we focus on one such degree of freedom - illumination within a microscope - which can drastically alter information captured by the image sensor.

General Classification

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