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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Detalles Bibliográficos
Autores principales: Guo, Syuan-Ming, Yeh, Li-Hao, Folkesson, Jenny, Ivanov, Ivan E, Krishnan, Anitha P, Keefe, Matthew G, Hashemi, Ezzat, Shin, David, Chhun, Bryant B, Cho, Nathan H, Leonetti, Manuel D, Han, May H, Nowakowski, Tomasz J, Mehta, Shalin B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431134/
https://www.ncbi.nlm.nih.gov/pubmed/32716843
http://dx.doi.org/10.7554/eLife.55502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431134/
https://www.ncbi.nlm.nih.gov/pubmed/32716843
http://dx.doi.org/10.7554/eLife.55502

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