SharpViSu specifications


Unique identifier OMICS_11339
Name SharpViSu
Software type Package/Module
Interface Command line interface, Graphical user interface
Restrictions to use None
Input data It uses localization tables as input which results in very small data sizes compared to raw time-lapse acquisitions, and a high precision of the contained information as compared to uncorrected, preliminarily reconstructed super-resolution images.
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Advanced
Version 1.2.2
Stability Stable
Maintained Yes


No version available



  • person_outline Bruno Klaholz

Publication for SharpViSu

SharpViSu citation


ClusterViSu, a method for clustering of protein complexes by Voronoi tessellation in super resolution microscopy

Sci Rep
PMCID: 4828638
PMID: 27068792
DOI: 10.1038/srep24084

[…] d improve localization precision the data were processed by averaging the coordinates of consecutive events within a radius of 50 nm around each localization. Subsequently, the data were processed in SharpViSu (ref. , in press; The drift was detected and corrected using cross-correlation-based approach. Briefly, the dataset was divided on several consecutiv […]

SharpViSu institution(s)
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
SharpViSu funding source(s)
This work was supported by CNRS, the European Research Council (ERC Starting Grant 243296), the French Infrastructure for Integrated Structural Biology (FRISBI) [ANR-10-INSB-05-01], Instruct as part of the European Strategy Forum on Research Infrastructures (ESFRI), and IGBMC facilities.

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