DocumentCode :
3707522
Title :
Quantification of the 3D collagen network geometry in confocal reflection microscopy
Author :
Martin Maska;Cristina Ederra;Javier Fernández-Marqués;Arrate Muñoz-Barrutia;Michal Kozubek;Carlos Ortiz-de-Solórzano
Author_Institution :
Centre for Biomedical Image Analysis, Masaryk University, 60200 Brno, Czech Republic
fYear :
2015
Firstpage :
1791
Lastpage :
1794
Abstract :
The geometry of 3D collagen networks is a key factor that influences the behavior of live cells within extracellular matrices. This paper presents a hybrid, two-step method for fully automatic quantification of the 3D collagen network geometry at fiber resolution in confocal reflection microscopy images. First, a coarse binary mask of the entire network is obtained using steerable filtering and local Otsu thresholding. Second, individual collagen fibers are reconstructed by tracing maximum ridges in the Euclidean distance map of the binary mask. The proposed method, validated in a novel framework using 3D collagen gels with various collagen and Matrigel concentrations, reveal that Matrigel affects the collagen network geometry by decreasing the network pore size while preserving the fiber length and fiber persistence length.
Keywords :
"Three-dimensional displays","Geometry","Microscopy","Agriculture","Image reconstruction","Euclidean distance","Customer relationship management"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7351109
Filename :
7351109
Link To Document :
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