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.
DOI: 10.1038/nmeth.3579
PMID: 26344046