163 citations · 233 across the 3 of their papers we have counts for
3 papers
Computational interference microscopy enabled by deep learning
Yuheng Jiao, Yuchen R. He, Mikhail E. Kandel +3
Quantitative phase imaging (QPI) has been widely applied in characterizing cells and tissues. Spatial light interference microscopy (SLIM) is a highly sensitive QPI method, due to…
Phase Imaging with Computational Specificity (PICS) for measuring dry mass changes in sub-cellular compartments
Mikhail E. Kandel, Yuchen R. He, Young Jae Lee +7
Due to its specificity, fluorescence microscopy (FM) has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continu…
Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)
Jingfang "Kelly" Zhang, Yuchen R. He, Nahil Sobh +1
Current pathology workflow involves staining of thin tissue slices, which otherwise would be transparent, followed by manual investigation under the microscope by a trained patholo…