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 …
Diffraction tomography with a deep image prior Optics Express (2020) Kevin C. Zhou and Roarke Horstmeyer Department of Biomedical Engineering, Duke University, Durham, NC 27708 Links to paper, code, and data. Abstract We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography (DP-DT), to reconstruct the 3D refractive index (RI) of thick biological …
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 …
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 …
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: …
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, …
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