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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| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
25 March 2020
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| In: |
Nature Communications
Year: 2020, Jahrgang: 11 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-020-15362-1 |
| Online-Zugang: | 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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| Verfasserangaben: | Maja Klevanski, Frank Herrmannsdoerfer, Steffen Sass, Varun Venkataramani, Mike Heilemann, Thomas Kuner |
| Zusammenfassung: | 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. |
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| Beschreibung: | Gesehen am 20.04.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-020-15362-1 |