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

Multicolour single-molecule localization microscopy lacks a standard analysis method. Here Levet et al. introduce Coloc-Tesseler, a parameter-free colocalisation analysis method based on tessellation analysis for the efficient analysis of multicolour SMLM data.

Bibliographic Details
Main Authors: Florian Levet, Guillaume Julien, Rémi Galland, Corey Butler, Anne Beghin, Anaël Chazeau, Philipp Hoess, Jonas Ries, Grégory Giannone, Jean-Baptiste Sibarita
Format: Article
Language:English
Published: Nature Portfolio 2019-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10007-4
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author Florian Levet
Guillaume Julien
Rémi Galland
Corey Butler
Anne Beghin
Anaël Chazeau
Philipp Hoess
Jonas Ries
Grégory Giannone
Jean-Baptiste Sibarita
author_facet Florian Levet
Guillaume Julien
Rémi Galland
Corey Butler
Anne Beghin
Anaël Chazeau
Philipp Hoess
Jonas Ries
Grégory Giannone
Jean-Baptiste Sibarita
author_sort Florian Levet
collection DOAJ
description Multicolour single-molecule localization microscopy lacks a standard analysis method. Here Levet et al. introduce Coloc-Tesseler, a parameter-free colocalisation analysis method based on tessellation analysis for the efficient analysis of multicolour SMLM data.
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spelling doaj.art-d2dc0ec7053645058eba3781c8fe99942022-12-21T19:32:45ZengNature PortfolioNature Communications2041-17232019-05-0110111210.1038/s41467-019-10007-4A tessellation-based colocalization analysis approach for single-molecule localization microscopyFlorian Levet0Guillaume Julien1Rémi Galland2Corey Butler3Anne Beghin4Anaël Chazeau5Philipp Hoess6Jonas Ries7Grégory Giannone8Jean-Baptiste Sibarita9Interdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL)Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL)Interdisciplinary Institute for Neuroscience, University of BordeauxInterdisciplinary Institute for Neuroscience, University of BordeauxMulticolour single-molecule localization microscopy lacks a standard analysis method. Here Levet et al. introduce Coloc-Tesseler, a parameter-free colocalisation analysis method based on tessellation analysis for the efficient analysis of multicolour SMLM data.https://doi.org/10.1038/s41467-019-10007-4
spellingShingle Florian Levet
Guillaume Julien
Rémi Galland
Corey Butler
Anne Beghin
Anaël Chazeau
Philipp Hoess
Jonas Ries
Grégory Giannone
Jean-Baptiste Sibarita
A tessellation-based colocalization analysis approach for single-molecule localization microscopy
Nature Communications
title A tessellation-based colocalization analysis approach for single-molecule localization microscopy
title_full A tessellation-based colocalization analysis approach for single-molecule localization microscopy
title_fullStr A tessellation-based colocalization analysis approach for single-molecule localization microscopy
title_full_unstemmed A tessellation-based colocalization analysis approach for single-molecule localization microscopy
title_short A tessellation-based colocalization analysis approach for single-molecule localization microscopy
title_sort tessellation based colocalization analysis approach for single molecule localization microscopy
url https://doi.org/10.1038/s41467-019-10007-4
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