Super-Resolution Microscopy for Structural Cell Biology.

MINFLUX cell biology molecular machines single-molecule localization microscopy structural biology super-resolution microscopy

Journal

Annual review of biophysics
ISSN: 1936-1238
Titre abrégé: Annu Rev Biophys
Pays: United States
ID NLM: 101469708

Informations de publication

Date de publication:
09 05 2022
Historique:
pubmed: 5 2 2022
medline: 12 5 2022
entrez: 4 2 2022
Statut: ppublish

Résumé

Super-resolution microscopy techniques, and specifically single-molecule localization microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great potential to complement structural biology techniques such as electron microscopy for structural cell biology. In this review, we introduce the different flavors of super-resolution microscopy, with a special emphasis on SMLM and MINFLUX (minimal photon flux). We summarize recent technical developments that pushed these localization-based techniques to structural scales and review the experimental conditions that are key to obtaining data of the highest quality. Furthermore, we give an overview of different analysis methods and highlight studies that used SMLM to gain structural insights into biologically relevant molecular machines. Ultimately, we give our perspective on what is needed to push the resolution of these techniques even further and to apply them to investigating dynamic structural rearrangements in living cells.

Identifiants

pubmed: 35119945
doi: 10.1146/annurev-biophys-102521-112912
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

301-326

Auteurs

Sheng Liu (S)

Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany; email: jonas.ries@embl.de.

Philipp Hoess (P)

Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany; email: jonas.ries@embl.de.

Jonas Ries (J)

Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany; email: jonas.ries@embl.de.

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Classifications MeSH