Deep learning for blind structured illumination microscopy

Blind-structured illumination microscopy (blind-SIM) enhances the optical resolution without the requirement of nonlinear effects or pre-defined illumination patterns. It is thus advantageous in experimental conditions where toxicity or biological fluctuations are an issue. In this work, we introduc...

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Detalles Bibliográficos
Autores principales: Xypakis, Emmanouil, Gosti, Giorgio, Giordani, Taira, Santagati, Raffaele, Ruocco, Giancarlo, Leonetti, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124205/
https://www.ncbi.nlm.nih.gov/pubmed/35597874
http://dx.doi.org/10.1038/s41598-022-12571-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124205/
https://www.ncbi.nlm.nih.gov/pubmed/35597874
http://dx.doi.org/10.1038/s41598-022-12571-0

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