Deep learning enables fast, gentle STED microscopy

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STED microscopy is widely used to image subcellular structures with super-resolution. Here, we report that restoring STED images with deep learning can mitigate photobleaching and photodamage by reducing the pixel dwell time by one or two orders of magnitude. Our method allows for efficient and robu...

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Detalles Bibliográficos
Autores principales: Ebrahimi, Vahid, Stephan, Till, Kim, Jiah, Carravilla, Pablo, Eggeling, Christian, Jakobs, Stefan, Han, Kyu Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300082/
https://www.ncbi.nlm.nih.gov/pubmed/37369761
http://dx.doi.org/10.1038/s42003-023-05054-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300082/
https://www.ncbi.nlm.nih.gov/pubmed/37369761
http://dx.doi.org/10.1038/s42003-023-05054-z

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