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ClusterViSu, a method for clustering of protein complexes by Voronoi tessellation in super-resolution microscopy.
Andronov, Leonid; Orlov, Igor; Lutz, Yves; Vonesch, Jean-Luc; Klaholz, Bruno P.
Afiliação
  • Andronov L; Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC (Institute of Genetics and of Molecular and Cellular Biology), 1 rue Laurent Fries, Illkirch, France.
  • Orlov I; Centre National de la Recherche Scientifique (CNRS) UMR 7104, Illkirch, France.
  • Lutz Y; Institut National de la Santé et de la Recherche Médicale (INSERM) U964, Illkirch, France.
  • Vonesch JL; Université de Strasbourg, Strasbourg, France.
  • Klaholz BP; Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC (Institute of Genetics and of Molecular and Cellular Biology), 1 rue Laurent Fries, Illkirch, France.
Sci Rep ; 6: 24084, 2016 Apr 12.
Article em En | MEDLINE | ID: mdl-27068792
Super-resolution microscopy (PALM, STORM etc.) provides a plethora of fluorescent signals in dense cellular environments which can be difficult to interpret. Here we describe ClusterViSu, a method for image reconstruction, visualization and quantification of labelled protein clusters, based on Voronoi tessellation of the individual fluorescence events. The general applicability of this clustering approach for the segmentation of super-resolution microscopy data, including for co-localization, is illustrated on a series of important biological objects such as chromatin complexes, RNA polymerase, nuclear pore complexes and microtubules.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Análise por Conglomerados / Complexos Multiproteicos / Microscopia de Fluorescência Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Análise por Conglomerados / Complexos Multiproteicos / Microscopia de Fluorescência Idioma: En Ano de publicação: 2016 Tipo de documento: Article