ML-SIM: universal reconstruction of structured illumination microscopy images using transfer learning

Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the reconstruction of SIM images is often slow, prone to artefacts, and requires mult...

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Detalles Bibliográficos
Autores principales: Christensen, Charles N., Ward, Edward N., Lu, Meng, Lio, Pietro, Kaminski, Clemens F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176814/
https://www.ncbi.nlm.nih.gov/pubmed/34123499
http://dx.doi.org/10.1364/BOE.414680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176814/
https://www.ncbi.nlm.nih.gov/pubmed/34123499
http://dx.doi.org/10.1364/BOE.414680

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