STORM-based Relative Localization Analysis

Quantify relative localization of proteins based on STORM-based single molecule positional data

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Updated 12 Jan 2017

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Super-resolution STochastic Optical Reconstruction Microscopy (STORM) achieves resolutions of 20 nm laterally and <50 nm in the z-dimension and yields 3D positions of individual molecules. STORM-based Relative Localization Analysis (STORM-RLA) identifies clusters of localized molecules based on 3D particle density and quantifies the spatial relationship between clusters of co-labeled proteins: 1) the instance and degree of overlap between clusters, and, 2) the distance from each cluster to the nearest cluster of the co-labeled protein.

Cite As

Rengasayee Veeraraghavan (2023). STORM-based Relative Localization Analysis (https://www.mathworks.com/matlabcentral/fileexchange/57647-storm-based-relative-localization-analysis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Inhull, DBSCAN Clustering Algorithm

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Version Published Release Notes
1.0.0.0

Bugs fixed.
Description updated.