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

TY - JOUR

T1 - The Rényi divergence enables accurate and precise cluster analysis for localization microscopy

AU - Staszowska, Adela D.

AU - Fox-Roberts, Patrick

AU - Hirvonen, Liisa M.

AU - Peddie, Christopher J.

AU - Collinson, Lucy M.

AU - Jones, Gareth E.

AU - Cox, Susan

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Motivation: 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). Results: Here, we describe how the Rényi divergence can be used for cluster radius measurements in localization microscopy data. We demonstrate that the Rényi divergence can operate with high levels of background and provides results which are more accurate than Ripley's functions, Voronoi tesselation or DBSCAN. Availability and implementation: The data supporting this research and the software described are accessible at the following site: https://dx.doi.org/10.18742/RDM01-316. Correspondence and requests for materials should be addressed to the corresponding author. Supplementary information: Supplementary data are available at Bioinformatics online.

AB - Motivation: 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). Results: Here, we describe how the Rényi divergence can be used for cluster radius measurements in localization microscopy data. We demonstrate that the Rényi divergence can operate with high levels of background and provides results which are more accurate than Ripley's functions, Voronoi tesselation or DBSCAN. Availability and implementation: The data supporting this research and the software described are accessible at the following site: https://dx.doi.org/10.18742/RDM01-316. Correspondence and requests for materials should be addressed to the corresponding author. Supplementary information: Supplementary data are available at Bioinformatics online.

UR - http://www.scopus.com/inward/record.url?scp=85057148619&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/bty403

DO - 10.1093/bioinformatics/bty403

M3 - Article

C2 - 29868717

AN - SCOPUS:85057148619

SN - 1367-4811

VL - 34

SP - 4102

EP - 4111

JO - Bioinformatics (Oxford, England)

JF - Bioinformatics (Oxford, England)

IS - 23

ER -