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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Autori principali: Klevanski, Maja (Autore) , Herrmannsdörfer, Frank (Autore) , Saß, Steffen (Autore) , Venkataramani, Varun (Autore) , Heilemann, Mike (Autore) , Kuner, Thomas (Autore)
Natura: Article (Journal)
Lingua:inglese
Pubblicazione: 25 March 2020
In: Nature Communications
Year: 2020, Volume: 11
ISSN:2041-1723
DOI:10.1038/s41467-020-15362-1
Accesso online:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41467-020-15362-1
Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41467-020-15362-1
Testo
Note sull'autore:Maja Klevanski, Frank Herrmannsdoerfer, Steffen Sass, Varun Venkataramani, Mike Heilemann, Thomas Kuner
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Riassunto: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.
Descrizione del documento:Gesehen am 20.04.2020
Descrizione fisica:Online Resource
ISSN:2041-1723
DOI:10.1038/s41467-020-15362-1