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Quantitative Jones matrix imaging using vectorial Fourier ptychography

Quantitative Jones matrix imaging using vectorial Fourier ptychography Biomedical Optics Express(2022) Xiang Dai1, Shiqi Xu1, Xi Yang1, Kevin C. Zhou1, Carolyn Glass2, Pavan Chandra Konda1, Roarke W. Horstmeyer1† 1 Department of Biomedical Engineering, Duke University, Durham, NC, USA, 27708 2 Department of Pathology, Duke University, Durham, NC, USA, 27708 Link to paper Abstract This paper …

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Quantitative Jones matrix imaging using vectorial Fourier ptychography

Quantitative Jones matrix imaging using vectorial Fourier ptychography Biomedical Optics Express(2022) Xiang Dai1, Shiqi Xu1, Xi Yang1, Kevin C. Zhou1, Carolyn Glass2, Pavan Chandra Konda1, Roarke W. Horstmeyer1† 1 Department of Biomedical Engineering, Duke University, Durham, NC, USA, 27708 2 Department of Pathology, Duke University, Durham, NC, USA, 27708 Link to paper Abstract This paper …

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Vectorial Fourier ptychography

Quantitative Jones matrix imaging using vectorial Fourier ptychography Biomedical Optics Express (2022) Xiang Dai1, Shiqi Xu1, Xi Yang1, Kevin C. Zhou1, Carolyn Glass2, Pavan Chandra Konda1, Roarke W. Horstmeyer1† 1 Department of Biomedical Engineering, Duke University, Durham, NC, USA, 27708 2 Department of Pathology, Duke University, Durham, NC, USA, 27708 Link to paper Abstract This …

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Quantized FP with binary images from SPAD Cameras

Quantized Fourier ptychography with binary images from SPAD cameras Paper Published in Photonics Research(2021) Xi Yang,1,* Pavan Chandra Konda,1 Shiqi Xu,1 Liheng Bian,2 and Roarke Horstmeyer1,3,4 1Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA 2School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China 3Department of Physics, Duke University, Durham, North …

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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 …

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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, …

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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 …

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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 …

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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 …

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