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A non-parametric procedure for co-localization studies in fluorescence microscopy

Authors :
Pécot, Thierry
Lavancier, Frédéric
Kervrann, Charles
Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes (SERPICO)
Inria Rennes – Bretagne Atlantique
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Département de Mathématiques et Informatique - Université de Nantes
Université de Nantes (UN)
French National Research Infrastructure France-BioImaging (ANR-10-INSB-04)
Source :
Workshop SSIAB-Spatial Statistics and Image Analysis in Biology, Workshop SSIAB-Spatial Statistics and Image Analysis in Biology, May 2016, Rennes, France
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; Spatial proximity between proteins is a potential evidence of their interaction. Modern light microscopy associated with fluorescence molecule tagging allow to acquire images with two or more distinct proteins at the same time to characterize the joint spatial repartition and the spatial overlap between them. This analysis is commonly called a « co-localization » study. We propose a non-parametric testing procedure for co-localization based on the overlapping areas defined by the segmented proteins. This procedure is more powerful than existing methods to detect co-localization. In addition, this testing procedure is robust to protein shapes and sizes.

Details

Language :
English
Database :
OpenAIRE
Journal :
Workshop SSIAB-Spatial Statistics and Image Analysis in Biology, Workshop SSIAB-Spatial Statistics and Image Analysis in Biology, May 2016, Rennes, France
Accession number :
edsair.dedup.wf.001..5acd6372b658c26c4a1c51ed121319d9