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2D mapping of strongly deformable cell nuclei‐based on contour matching
Author(s) -
De Vylder Jonas,
De Vos Winnok H.,
Manders Erik M.,
Philips Wilfried
Publication year - 2011
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.21055
Subject(s) - genome , deformation (meteorology) , telomere , displacement (psychology) , cell nucleus , matching (statistics) , nucleus , computational biology , biological system , nuclear localization sequence , biology , component (thermodynamics) , computer science , computer vision , artificial intelligence , dna , pattern recognition (psychology) , microbiology and biotechnology , physics , genetics , mathematics , gene , psychology , statistics , meteorology , psychotherapist , thermodynamics
The spatiotemporal dynamics of protein complexes and genome loci are functionally linked to cellular health status. To study the inherent motion of subnuclear particles, it is essential to remove any superimposed component stemming from displacement and deformation of the nucleus. In this article, we propose a mapping of the nuclear interior, which is based on the deformation of the nuclear contour and has no shape constraints. This registration procedure enabled an accurate estimation of telomere mobility in living human cells undergoing dramatic nuclear deformations. Given the large variety of pathologies and cellular processes that are associated with strong nuclear shape changes, the contour mapping algorithm has generic value for improving the accuracy of mobility measurements of genome loci and intranuclear macromolecule complexes. © 2011 International Society for Advancement of Cytometry