Affiliation:
1. Department of Biotechnology and Biophysics, Julius-Maximilians University , 97074 Würzburg, Germany
Abstract
Abstract
Motivation
Single-molecule localization microscopy resolves individual fluorophores or fluorescence-labeled biomolecules. Data are provided as a set of localizations that distribute normally around the true fluorophore position with a variance determined by the localization precision. Characterizing the spatial fluorophore distribution to differentiate between resolution-limited localization clusters, which resemble individual biomolecules, and extended structures, which represent aggregated molecular complexes, is a common challenge.
Results
We demonstrate the use of the convex hull and related hull properties of localization clusters for diagnostic purposes, as a parameter for cluster selection or as a tool to determine localization precision.
Availability and implementation
https://github.com/super-resolution/Ebert-et-al-2022-supplement.
Supplementary information
Supplementary data are available at Bioinformatics online.
Funder
German Research Foundation
Deutsche Forschungsgemeinschaft
European Research Council
European Union’s Horizon 2020
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Cited by
5 articles.
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