The Rényi divergence enables accurate and precise cluster analysis for localization microscopy

More about Open Access at the Crick

Abstract

Clustering analysis is a key technique for quantitatively characterizing structures in localization microscopy images. To build up accurate information about biological structures, it is critical that the quantification is both accurate (close to the ground truth) and precise (has small scatter and is reproducible).

Journal details

Journal Bioinformatics
Volume 34
Issue number 23
Pages 4102-4111
Available online
Publication date

Keywords

Related topics

Crick labs/facilities

Crick authors

Crick First author
Crick Corresponding author