Uncategorized

Deep Optical Blood Analysis

Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening medRxiv(2021) Authors: Colin L. Cooke, Kanghyun Kim, Shiqi Xu, Amey Chaware, Xing Yao, Xi Yang, Jadee Neff, Patricia Pittman, Chad McCall, Carolyn Glass, Xiaoyin Sara Jiang, Roarke Horstmeyer Code Paper Abstract Visual examination of cell morphology within a peripheral blood …

Deep Optical Blood Analysis Read More »

Learned Sensing

Learned Sensing: Jointly optimized microscope hardware for accurate image classification Biomedical Optics Express (2019) Alex Muthumbi1,+,Amey Chaware2,+, Kanghyun Kim2, Kevin Zhou3, Pavan Chandra Konda3, Richard Chen4, Benjamin Judkewitz5, Andreas Erdmann6,1, Barbara Kappes7, Roarke Horstmeyer2,3 1: School of Advanced Optical Technologies, Friedrich-Alexander University, Erlangen, Germany. 2: Department of Electrical and Computer Engineering, Duke University, Durham NC, …

Learned Sensing Read More »

Towards an Intelligent Microscope

Towards an intelligent microscope: adaptively learned illumination for optimal sample classification Amey Chaware1,+, Colin L. Cooke1,+, Kanghyun Kim1, Roarke Horstmeyer1,2 ICASSP (2020) 1: Department of Electrical and Computer Engineering, Duke University, Durham NC, USA. 2: Department of Biomedical Engineering, Duke University, Durham NC, USA. + denotes equally contributing authors   Links to Paper , Fourier …

Towards an Intelligent Microscope Read More »

Multi Element Microscope Optimization

Multi-element microscope optimization by a learned sensing network with composite physical layers Optics Express (2020) Kanghyun Kim1, Pavan Chandra Konda1, Colin L.Cooke2, Roarke Horstmeyer1,2 1: Department of Biomedical Engineering, Duke University, Durham NC, USA. 2: Department of Electrical and Computer Engineering, Duke University, Durham NC, USA. Links to Paper and Code Abstract Standard microscopes offer …

Multi Element Microscope Optimization Read More »

Overlapped Imaging

Increasing a Microscope’s Effective Field of View via Overlapped Imaging and Deep Learning Classification Xing Yao1, Vinayak Pathak1,  Haoran Xi2, Kevin C. Zhou 3, Amey Chaware 3, Colin Cooke 3 , Kanghyun Kim1 , Shiqi Xu1, Yuting Li1, Tim Dunn 4 and Roarke Horstmeyer1,3 1: Department of Biomedical Engineering, Duke University, Durham NC, USA.2: Department of Computer Science, Duke University, Durham NC, USA.3: Department …

Overlapped Imaging Read More »

Virtual Fluoroscence

Physics-enhanced machine learning for virtual fluorescence microscopy ICCV(2021) Colin L. Cooke1, Fanjie Kong1, Amey Chaware1, Kevin C. Zhou 2, Kanghyun Kim 1, Rong Xu1, D. Michael Ando3, Samuel J. Wang3, Pavan Chandra Konda 3, and Roarke Horstmeyer1, 2 1: Duke University, Department of Biomedical Engineering 2: Duke University, Department of Electrical and Computer Engineering 3: …

Virtual Fluoroscence Read More »

Parallelized Diffuse Correlation Spectrocopy

Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection Wenhui Liu1,2, Ruobing Qian1, Shiqi Xu1, Pavan Chandra Konda1, Joakim Jönsson3, Mark Harfouche1, Dawid Borycki4, Colin Cooke5, Edouard Berrocal3, Qionghai Dai2, Haoqian Wang6, Roarke W. Horstmeyer1,5,7† 1 Department of Biomedical Engineering, Duke University, Durham, NC, USA, 27708 2 Department of Automation, Tsinghua University, …

Parallelized Diffuse Correlation Spectrocopy Read More »

// First try loading jQuery from Google's CDN