SR-Tesseler

SR-Tesseler segments and quantifies molecular organization from localization-based super-resolution microscopy by constructing Voronoi tessellations from localized molecule coordinates.


Key Features:

  • Voronoi Tessellation-Based Segmentation: Constructs polygonal Voronoi tessellations from localization coordinates to segment molecular assemblies.
  • Multi-Scale Quantification: Quantifies protein arrangements across scales from whole-cell structures down to small clusters composed of a few fluorescent markers.
  • Robustness Against Variability: Provides measures that are insensitive to variations in cell shape, molecular organization, background noise, and imaging artifacts to enable unbiased comparisons.
  • Automatic Analysis: Performs automated segmentation and quantification based on the tessellation framework.

Scientific Applications:

  • Protein organization analysis: Quantitative analysis of complex protein organizations using localization-based super-resolution microscopy data.
  • Validation and benchmarking: Application to both simulated and experimental localization datasets for method validation.
  • Fluorophore-labeled protein studies: Analysis of proteins labeled with genetically encoded fluorescent proteins or organic fluorophores.

Methodology:

Segmentation is performed by constructing Voronoi tessellations from localized molecular coordinates, and quantification is derived from the resulting tessellation-based segments.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
9/12/2016
Last Updated:
12/10/2018

Operations

Publications

Levet F, Hosy E, Kechkar A, Butler C, Beghin A, Choquet D, Sibarita J. SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data. Nature Methods. 2015;12(11):1065-1071. doi:10.1038/nmeth.3579. PMID:26344046.

Documentation