Format

Send to

Choose Destination
Bioinformatics. 2016 Jul 15;32(14):2239-41. doi: 10.1093/bioinformatics/btw123. Epub 2016 Mar 18.

SharpViSu: integrated analysis and segmentation of super-resolution microscopy data.

Author information

1
Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC (Institute of Genetics and of Molecular and Cellular Biology), Illkirch, France Centre National de la Recherche Scientifique (CNRS) UMR 7104, Illkirch, France Institut National de la Santé et de la Recherche Médicale (INSERM) U964, Illkirch, France Université de Strasbourg, Strasbourg, France.

Abstract

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.

AVAILABILITY AND IMPLEMENTATION:

SharpViSu is available as open source code and as compiled stand-alone application under https://github.com/andronovl/SharpViSu

CONTACT:

klaholz@igbmc.fr

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
27153691
PMCID:
PMC4937188
DOI:
10.1093/bioinformatics/btw123
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center