Deep learning-based single-shot phase retrieval algorithm for surface plasmon resonance microscope based refractive index sensing application

A deep learning algorithm for single-shot phase retrieval under a conventional microscope is proposed and investigated. The algorithm has been developed using the context aggregation network architecture; it requires a single input grayscale image to predict an output phase profile through deep lear...

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Detalles Bibliográficos
Autores principales: Thadson, Kitsada, Visitsattapongse, Sarinporn, Pechprasarn, Suejit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357982/
https://www.ncbi.nlm.nih.gov/pubmed/34381103
http://dx.doi.org/10.1038/s41598-021-95593-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357982/
https://www.ncbi.nlm.nih.gov/pubmed/34381103
http://dx.doi.org/10.1038/s41598-021-95593-4

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