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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2020-03-01
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Online Access: | https://doi.org/10.1038/s41467-020-15362-1 |
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doaj-32a771440bc44ff9ab58e746e4a6a5a52021-05-11T08:51:09ZengNature Publishing GroupNature Communications2041-17232020-03-0111111110.1038/s41467-020-15362-1Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissuesMaja Klevanski0Frank Herrmannsdoerfer1Steffen Sass2Varun Venkataramani3Mike Heilemann4Thomas Kuner5Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversityDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg UniversitySuper-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.https://doi.org/10.1038/s41467-020-15362-1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maja Klevanski Frank Herrmannsdoerfer Steffen Sass Varun Venkataramani Mike Heilemann Thomas Kuner |
spellingShingle |
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 Nature Communications |
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 Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2020-03-01 |
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. |
url |
https://doi.org/10.1038/s41467-020-15362-1 |
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