The Rényi divergence enables accurate and precise cluster analysis for localization microscopy
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Adela D Staszowska Patrick Fox-Roberts Liisa M Hirvonen Chris Peddie Lucy Collinson Gareth E Jones Susan CoxAbstract
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
Full text links
Publisher website (DOI) 10.1093/bioinformatics/bty403
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Europe PubMed Central 29868717
Pubmed 29868717