A tessellation-based colocalization analysis approach for single-molecule localization microscopy.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
30 05 2019
Historique:
received: 16 05 2018
accepted: 12 04 2019
entrez: 1 6 2019
pubmed: 31 5 2019
medline: 31 5 2019
Statut: epublish

Résumé

Multicolor single-molecule localization microscopy (λSMLM) is a powerful technique to reveal the relative nanoscale organization and potential colocalization between different molecular species. While several standard analysis methods exist for pixel-based images, λSMLM still lacks such a standard. Moreover, existing methods only work on 2D data and are usually sensitive to the relative molecular organization, a very important parameter to consider in quantitative SMLM. Here, we present an efficient, parameter-free colocalization analysis method for 2D and 3D λSMLM using tessellation analysis. We demonstrate that our method allows for the efficient computation of several popular colocalization estimators directly from molecular coordinates and illustrate its capability to analyze multicolor SMLM data in a robust and efficient manner.

Identifiants

pubmed: 31147535
doi: 10.1038/s41467-019-10007-4
pii: 10.1038/s41467-019-10007-4
pmc: PMC6542817
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

2379

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Auteurs

Florian Levet (F)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.
Bordeaux Imaging Center, University of Bordeaux, Bordeaux, 33076, France.
Bordeaux Imaging Center, CNRS UMS 3420, Bordeaux, 33076, France.
Bordeaux Imaging Center, INSERM US04, Bordeaux, 33076, France.

Guillaume Julien (G)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Rémi Galland (R)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Corey Butler (C)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Anne Beghin (A)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Anaël Chazeau (A)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Philipp Hoess (P)

Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, 69117, Germany.

Jonas Ries (J)

Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, 69117, Germany.

Grégory Giannone (G)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France.

Jean-Baptiste Sibarita (JB)

Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, 33076, France. jean-baptiste.sibarita@u-bordeaux.fr.
Interdisciplinary Institute for Neuroscience, Centre National de la Recherche Scientifique (CNRS) UMR 5297, Bordeaux, 33076, France. jean-baptiste.sibarita@u-bordeaux.fr.

Classifications MeSH