PT  - JOURNAL ARTICLE
AU  - Leonid Andronov
AU  - Jonathan Michalon
AU  - Khalid Ouararhni
AU  - Igor Orlov
AU  - Ali Hamiche
AU  - Jean-Luc Vonesch
AU  - Bruno P. Klaholz
TI  - 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations
AID  - 10.1101/146456
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 146456
4099  - http://biorxiv.org/content/early/2017/06/07/146456.short
4100  - http://biorxiv.org/content/early/2017/06/07/146456.full
AB  - Single-molecule localization microscopy (SMLM) can play an important role in integrated structural biology approaches for example at the interface of cryo electron microscopy (cryo-EM), X-ray crystallography, NMR and fluorescence imaging to identify, localize and determine the 3D structure of cellular structures. While many tools exist for the 3D analysis and visualisation of crystal or cryo-EM structures little exists for 3D SMLM data which can provide fascinating 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 & 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.