Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues

Super-resolution imaging of multiple target proteins in the same sample can provide important information of cellular nanostructure, but has not been routinely achieved. Here, the authors present a fully automated 3D STORM approach using a re-staining protocol to image 15 targets in single cells and...

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Autores principales: Maja Klevanski, Frank Herrmannsdoerfer, Steffen Sass, Varun Venkataramani, Mike Heilemann, Thomas Kuner
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/32a771440bc44ff9ab58e746e4a6a5a5
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spelling oai:doaj.org-article:32a771440bc44ff9ab58e746e4a6a5a52021-12-02T14:40:41ZAutomated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues10.1038/s41467-020-15362-12041-1723https://doaj.org/article/32a771440bc44ff9ab58e746e4a6a5a52020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15362-1https://doaj.org/toc/2041-1723Super-resolution imaging of multiple target proteins in the same sample can provide important information of cellular nanostructure, but has not been routinely achieved. Here, the authors present a fully automated 3D STORM approach using a re-staining protocol to image 15 targets in single cells and 16 targets in neuronal tissue.Maja KlevanskiFrank HerrmannsdoerferSteffen SassVarun VenkataramaniMike HeilemannThomas KunerNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Maja Klevanski
Frank Herrmannsdoerfer
Steffen Sass
Varun Venkataramani
Mike Heilemann
Thomas Kuner
Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
description Super-resolution imaging of multiple target proteins in the same sample can provide important information of cellular nanostructure, but has not been routinely achieved. Here, the authors present a fully automated 3D STORM approach using a re-staining protocol to image 15 targets in single cells and 16 targets in neuronal tissue.
format article
author Maja Klevanski
Frank Herrmannsdoerfer
Steffen Sass
Varun Venkataramani
Mike Heilemann
Thomas Kuner
author_facet Maja Klevanski
Frank Herrmannsdoerfer
Steffen Sass
Varun Venkataramani
Mike Heilemann
Thomas Kuner
author_sort Maja Klevanski
title Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
title_short Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
title_full Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
title_fullStr Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
title_full_unstemmed Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
title_sort automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/32a771440bc44ff9ab58e746e4a6a5a5
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AT frankherrmannsdoerfer automatedhighlymultiplexedsuperresolutionimagingofproteinnanoarchitectureincellsandtissues
AT steffensass automatedhighlymultiplexedsuperresolutionimagingofproteinnanoarchitectureincellsandtissues
AT varunvenkataramani automatedhighlymultiplexedsuperresolutionimagingofproteinnanoarchitectureincellsandtissues
AT mikeheilemann automatedhighlymultiplexedsuperresolutionimagingofproteinnanoarchitectureincellsandtissues
AT thomaskuner automatedhighlymultiplexedsuperresolutionimagingofproteinnanoarchitectureincellsandtissues
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