Deep learning enables fast, gentle STED microscopy

Mostrar otras versiones (1)

STED microscopy is widely used to image subcellular structures with super-resolution. Here, we report that denoising 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...

Descripción completa

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: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900922/
https://www.ncbi.nlm.nih.gov/pubmed/36747618
http://dx.doi.org/10.1101/2023.01.26.525571
_version_ 1784882938629849088
author Ebrahimi, Vahid
Stephan, Till
Kim, Jiah
Carravilla, Pablo
Eggeling, Christian
Jakobs, Stefan
Han, Kyu Young
author_facet Ebrahimi, Vahid
Stephan, Till
Kim, Jiah
Carravilla, Pablo
Eggeling, Christian
Jakobs, Stefan
Han, Kyu Young
author_sort Ebrahimi, Vahid
collection PubMed
description STED microscopy is widely used to image subcellular structures with super-resolution. Here, we report that denoising 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 robust restoration of noisy 2D and 3D STED images with multiple targets and facilitates long-term imaging of mitochondrial dynamics.
format Online
Article
Text
id pubmed-9900922
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cold Spring Harbor Laboratory
record_format MEDLINE/PubMed
spelling pubmed-99009222023-02-07 Deep learning enables fast, gentle STED microscopy Ebrahimi, Vahid Stephan, Till Kim, Jiah Carravilla, Pablo Eggeling, Christian Jakobs, Stefan Han, Kyu Young bioRxiv Article STED microscopy is widely used to image subcellular structures with super-resolution. Here, we report that denoising 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 robust restoration of noisy 2D and 3D STED images with multiple targets and facilitates long-term imaging of mitochondrial dynamics. Cold Spring Harbor Laboratory 2023-01-27 /pmc/articles/PMC9900922/ /pubmed/36747618 http://dx.doi.org/10.1101/2023.01.26.525571 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Ebrahimi, Vahid
Stephan, Till
Kim, Jiah
Carravilla, Pablo
Eggeling, Christian
Jakobs, Stefan
Han, Kyu Young
Deep learning enables fast, gentle STED microscopy
title Deep learning enables fast, gentle STED microscopy
title_full Deep learning enables fast, gentle STED microscopy
title_fullStr Deep learning enables fast, gentle STED microscopy
title_full_unstemmed Deep learning enables fast, gentle STED microscopy
title_short Deep learning enables fast, gentle STED microscopy
title_sort deep learning enables fast, gentle sted microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900922/
https://www.ncbi.nlm.nih.gov/pubmed/36747618
http://dx.doi.org/10.1101/2023.01.26.525571
work_keys_str_mv AT ebrahimivahid deeplearningenablesfastgentlestedmicroscopy
AT stephantill deeplearningenablesfastgentlestedmicroscopy
AT kimjiah deeplearningenablesfastgentlestedmicroscopy
AT carravillapablo deeplearningenablesfastgentlestedmicroscopy
AT eggelingchristian deeplearningenablesfastgentlestedmicroscopy
AT jakobsstefan deeplearningenablesfastgentlestedmicroscopy
AT hankyuyoung deeplearningenablesfastgentlestedmicroscopy

Ejemplares similares