Computational interference microscopy enabled by deep learning

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 its partially coherent illumination and common path interferometry geometry. However, SLIM’s acquisition rate is limited...

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Detalles Bibliográficos
Autores principales: Jiao, Yuheng, He, Yuchen R., Kandel, Mikhail E., Liu, Xiaojun, Lu, Wenlong, Popescu, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931864/
https://www.ncbi.nlm.nih.gov/pubmed/35308602
http://dx.doi.org/10.1063/5.0041901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931864/
https://www.ncbi.nlm.nih.gov/pubmed/35308602
http://dx.doi.org/10.1063/5.0041901

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