Improving axial resolution in Structured Illumination Microscopy using deep learning

Structured Illumination Microscopy (SIM) is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep learning models, we demonstrate a method to reconstruct 3D...

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Detalles Bibliográficos
Autores principales: Boland, Miguel A., Cohen, Edward A. K., Flaxman, Seth R., Neil, Mark A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072200/
https://www.ncbi.nlm.nih.gov/pubmed/33896203
http://dx.doi.org/10.1098/rsta.2020.0298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072200/
https://www.ncbi.nlm.nih.gov/pubmed/33896203
http://dx.doi.org/10.1098/rsta.2020.0298

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