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Bioinformatics. 2018 Sep 1;34(17):3004-3012. doi: 10.1093/bioinformatics/bty200.

3DClusterViSu: 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations.

Andronov L1,2,3,4,5, Michalon J1,2,3,4,5, Ouararhni K1,2,3,4,5, Orlov I1,2,3,4,5, Hamiche A1,2,3,4,5, Vonesch JL1,2,3,4,5, Klaholz BP1,2,3,4,5.

Author information

Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC, CNRS, Inserm, Université de Strasbourg, 1 rue Laurent Fries, Illkirch, France.
Institute of Genetics and of Molecular and Cellular Biology (IGBMC), 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, Illkirch, France.



Single-molecule localization microscopy (SMLM) can play an important role in integrated structural biology approaches to identify, localize and determine the 3D structure of cellular structures. While many tools exist for the 3D analysis and visualization of crystal or cryo-EM structures little exists for 3D SMLM data, which can provide unique insights but are particularly challenging to analyze in three dimensions especially in a dense cellular context.


We developed 3DClusterViSu, a method based on 3D Voronoi tessellations that allows local density estimation, segmentation and quantification of 3D SMLM data and visualization of protein clusters within a 3D tool. We show its robust performance on microtubules and histone proteins H2B and CENP-A with distinct spatial distributions. 3DClusterViSu will favor multi-scale and multi-resolution synergies to allow integrating molecular and cellular levels in the analysis of macromolecular complexes.

Availability and impementation:

3DClusterViSu is available under

Supplementary information:

Supplementary figures are available at Bioinformatics online.

[Indexed for MEDLINE]

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