Fiche publication
Date publication
avril 2016
Journal
Scientific reports
Auteurs
Membres identifiés du Cancéropôle Est :
Dr VONESCH Jean-Luc
,
Dr KLAHOLZ Bruno
Tous les auteurs :
Andronov L, Orlov I, Lutz Y, Vonesch JL, Klaholz BP
Lien Pubmed
Résumé
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.
Mots clés
Cluster Analysis, Image Processing, Computer-Assisted, methods, Microscopy, Fluorescence, methods, Multiprotein Complexes, analysis
Référence
Sci Rep. 2016 Apr;6:24084
