SharpViSu: integrated analysis and segmentation of super-resolution microscopy data.
Fiche publication
Date publication
juillet 2016
Journal
Bioinformatics (Oxford, England)
Auteurs
Membres identifiés du Cancéropôle Est :
Dr VONESCH Jean-Luc, Dr KLAHOLZ Bruno
Tous les auteurs :
Andronov L, Lutz Y, Vonesch JL, Klaholz BP
Lien Pubmed
Résumé
We introduce SharpViSu, an interactive open-source software with a graphical user interface, which allows performing processing steps for localization data in an integrated manner. This includes common features and new tools such as correction of chromatic aberrations, drift correction based on iterative cross-correlation calculations, selection of localization events, reconstruction of 2D and 3D datasets in different representations, estimation of resolution by Fourier ring correlation, clustering analysis based on Voronoi diagrams and Ripley's functions. SharpViSu is optimized to work with eventlist tables exported from most popular localization software. We show applications of these on single and double-labelled super-resolution data.
Référence
Bioinformatics. 2016 Jul;32(14):2239-41