Parameter-free binarization and skeletonization of fiber networks from confocal image stacks

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Krauß P, Metzner C, Lange J, Lang N, Fabry B
Zeitschrift: PLoS ONE
Verlag: Public Library of Science
Jahr der Veröffentlichung: 2012
Band: 7
Heftnummer: 5
ISSN: 1932-6203


Abstract


We present a method to reconstruct a disordered network of thin biopolymers, such as collagen gels, from three-dimensional (3D) image stacks recorded with a confocal microscope. The method is based on a template matching algorithm that simultaneously performs a binarization and skeletonization of the network. The size and intensity pattern of the template is automatically adapted to the input data so that the method is scale invariant and generic. Furthermore, the template matching threshold is iteratively optimized to ensure that the final skeletonized network obeys a universal property of voxelized random line networks, namely, solid-phase voxels have most likely three solid-phase neighbors in a 3×3×3 neighborhood. This optimization criterion makes our method free of user-defined parameters and the output exceptionally robust against imaging noise. © 2012 Krauss et al.



FAU-Autoren / FAU-Herausgeber

Fabry, Ben Prof. Dr.
Lehrstuhl für Biophysik
Lang, Nadine
Lehrstuhl für Biophysik
Lange, Janina
Lehrstuhl für Biophysik
Metzner, Claus PD Dr.
Lehrstuhl für Biophysik

Zuletzt aktualisiert 2018-08-08 um 18:55