163 citations · 396 across the 11 of their papers we have counts for
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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…
Spatial light interference microscopy (SLIM): principle and applications to biomedicine
Xi Chen, Mikhail E. Kandel, Gabriel Popescu
In this paper, we review spatial light interference microscopy (SLIM), a common-path, phase-shifting interferometer, built onto a phase-contrast microscope, with white-light illumi…
Multiscale assay of unlabeled neurite dynamics using phase imaging with computational specificity (PICS)
Mikhail E. Kandel, Eunjae Kim, Young Jae Lee +3
Primary neuronal cultures have been widely used to study neuronal morphology, neurophysiology, neurodegenerative processes, and molecular mechanism of synaptic plasticity underlyin…
Wolf phase tomography (WPT) of transparent structures using partially coherent illumination
Xi Chen, Mikhail E. Kandel, Chenfei Hu +2
Diffraction tomography using coherent holographic imaging has been proposed by Emil Wolf in 1969 to extract 3D information from transparent, inhomogeneous objects. At the same time…
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…
Quantifying myelin in brain tissue using color spatial light interference microscopy (cSLIM)
Michael Fanous, Megan P. Caputo, Young Jae Lee +7
Deficient myelination of the brain is associated with neurodevelopmental delays, particularly in high-risk infants, such as those born small in relation to their gestational age (S…