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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Main Authors: Klevanski, Maja (Author) , Herrmannsdörfer, Frank (Author) , Saß, Steffen (Author) , Venkataramani, Varun (Author) , Heilemann, Mike (Author) , Kuner, Thomas (Author)
Format: Article (Journal)
Language:English
Published: 25 March 2020
In: Nature Communications
Year: 2020, Volume: 11
ISSN:2041-1723
DOI:10.1038/s41467-020-15362-1
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41467-020-15362-1
Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41467-020-15362-1
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Author Notes:Maja Klevanski, Frank Herrmannsdoerfer, Steffen Sass, Varun Venkataramani, Mike Heilemann, Thomas Kuner
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Summary: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.
Item Description:Gesehen am 20.04.2020
Physical Description:Online Resource
ISSN:2041-1723
DOI:10.1038/s41467-020-15362-1