Varying label density allows artifact-free analysis of membrane-protein nanoclusters

We present a new method to robustly discriminate clustered from random distributions of molecules detected with single molecule localization microscopy-based techniques like PALM and STORM. The approach is based on the deliberate variation of the labeling density, e.g. by titration of fluorescent an...

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Detalles Bibliográficos
Autores principales: Baumgart, Florian, Arnold, Andreas, Leskovar, Konrad, Staszek, Kaj, Fölser, Martin, Weghuber, Julian, Stockinger, Hannes, Schütz, Gerhard. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404959/
https://www.ncbi.nlm.nih.gov/pubmed/27295310
http://dx.doi.org/10.1038/nmeth.3897
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author Baumgart, Florian
Arnold, Andreas
Leskovar, Konrad
Staszek, Kaj
Fölser, Martin
Weghuber, Julian
Stockinger, Hannes
Schütz, Gerhard. J.
author_facet Baumgart, Florian
Arnold, Andreas
Leskovar, Konrad
Staszek, Kaj
Fölser, Martin
Weghuber, Julian
Stockinger, Hannes
Schütz, Gerhard. J.
author_sort Baumgart, Florian
collection PubMed
description We present a new method to robustly discriminate clustered from random distributions of molecules detected with single molecule localization microscopy-based techniques like PALM and STORM. The approach is based on the deliberate variation of the labeling density, e.g. by titration of fluorescent antibody, combined with quantitative cluster analysis. It thereby circumvents the problem of cluster artifacts generated by overcounting of blinking fluorophores.
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spelling pubmed-64049592019-03-07 Varying label density allows artifact-free analysis of membrane-protein nanoclusters Baumgart, Florian Arnold, Andreas Leskovar, Konrad Staszek, Kaj Fölser, Martin Weghuber, Julian Stockinger, Hannes Schütz, Gerhard. J. Nat Methods Article We present a new method to robustly discriminate clustered from random distributions of molecules detected with single molecule localization microscopy-based techniques like PALM and STORM. The approach is based on the deliberate variation of the labeling density, e.g. by titration of fluorescent antibody, combined with quantitative cluster analysis. It thereby circumvents the problem of cluster artifacts generated by overcounting of blinking fluorophores. 2016-06-13 2016-08 /pmc/articles/PMC6404959/ /pubmed/27295310 http://dx.doi.org/10.1038/nmeth.3897 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Baumgart, Florian
Arnold, Andreas
Leskovar, Konrad
Staszek, Kaj
Fölser, Martin
Weghuber, Julian
Stockinger, Hannes
Schütz, Gerhard. J.
Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title_full Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title_fullStr Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title_full_unstemmed Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title_short Varying label density allows artifact-free analysis of membrane-protein nanoclusters
title_sort varying label density allows artifact-free analysis of membrane-protein nanoclusters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404959/
https://www.ncbi.nlm.nih.gov/pubmed/27295310
http://dx.doi.org/10.1038/nmeth.3897
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