Revealing architectural order with quantitative label-free imaging and deep learning

Revealing architectural order with quantitative label-free imaging and deep learning

We report quantitative label-free imaging with phase and polarization (QLIPP) for simultaneous measurement of density, anisotropy, and orientation of structures in unlabeled live cells and tissue slices. We combine QLIPP with deep neural networks to predict fluorescence images of diverse cell and ti...

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Bibliographic Details
Main Authors: Syuan-Ming Guo, Li-Hao Yeh, Jenny Folkesson, Ivan E Ivanov, Anitha P Krishnan, Matthew G Keefe, Ezzat Hashemi, David Shin, Bryant B Chhun, Nathan H Cho, Manuel D Leonetti, May H Han, Tomasz J Nowakowski, Shalin B Mehta
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-07-01
Series:eLife
Subjects:
label-free imaging
inverse algorithms
deep learning
human tissue
polarization
phase
Online Access:https://elifesciences.org/articles/55502

Internet

https://elifesciences.org/articles/55502

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