Multi-element microscope optimization by a learned sensing network with composite physical layers. - Kanghyun Kim; Pavan Chandra Konda; Colin L. V. Cooke; Ron Appel; Roarke Horstmeyer (CoRR, 2020)

Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. - Colin L. V. Cooke; Fanjie Kong; Amey Chaware; Kevin C. Zhou; Kanghyun Kim; Rong Xu; D. Michael Ando; Samuel J. Yang; Pavan Chandra Konda; Roarke Horstmeyer (ICCV, 2021)

Imaging dynamics beneath turbid media via parallelized single-photon detection. - Shiqi Xu; Xi Yang; Wenhui Liu; Joakim Jönsson; Ruobing Qian; Pavan Chandra Konda; Kevin C. Zhou; Qionghai Dai; Haoqian Wang; Edouard Berrocal; Roarke Horstmeyer (CoRR, 2021)

Increasing a microscope's effective field of view via overlapped imaging and machine learning. - Xing Yao; Vinayak Pathak; Haoran Xi; Amey Chaware; Colin L. V. Cooke; Kanghyun Kim; Shiqi Xu; Yuting Li; Timothy Dunn; Pavan Chandra Konda; Kevin C. Zhou; Roarke Horstmeyer (CoRR, 2021)

Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding. - Shiqi Xu; Wenhui Liu; Xi Yang; Joakim Jönsson; Ruobing Qian; Paul McKee; Kanghyun Kim; Pavan Chandra Konda; Kevin C. Zhou; Lucas Kreiß; Haoqian Wang; Edouard Berrocal; et al. (CoRR, 2022)