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@inproceedings{1300411,
author = {Maška, Martin and Ederra, Cristina and FernándezandMarqués, Javier and MuñozandBarrutia, Arrate and Kozubek, Michal and OrtizanddeandSolórzano, Carlos},
address = {Québec City},
booktitle = {22nd IEEE International Conference on Image Processing},
doi = {http://dx.doi.org/10.1109/ICIP.2015.7351109},
keywords = {collagen network geometry;confocal reflection microscopy;Matrigel;steerable filtering;pore size},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Québec City},
isbn = {978-1-4799-8339-1},
pages = {1791-1794},
publisher = {IEEE},
title = {Quantification of the 3D Collagen Network Geometry in Confocal Reflection Microscopy},
url = {http://dx.doi.org/10.1109/ICIP.2015.7351109},
year = {2015}
}
TY - JOUR
ID - 1300411
AU - Maška, Martin - Ederra, Cristina - Fernández-Marqués, Javier - Muñoz-Barrutia, Arrate - Kozubek, Michal - Ortiz-de-Solórzano, Carlos
PY - 2015
TI - Quantification of the 3D Collagen Network Geometry in Confocal Reflection Microscopy
PB - IEEE
CY - Québec City
SN - 9781479983391
KW - collagen network geometry;confocal reflection microscopy;Matrigel;steerable filtering;pore size
UR - http://dx.doi.org/10.1109/ICIP.2015.7351109
N2 - 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.
ER -
MAŠKA, Martin, Cristina EDERRA, Javier FERNÁNDEZ-MARQUÉS, Arrate MUÑOZ-BARRUTIA, Michal KOZUBEK a Carlos ORTIZ-DE-SOLÓRZANO. Quantification of the 3D Collagen Network Geometry in Confocal Reflection Microscopy. Online. In \textit{22nd IEEE International Conference on Image Processing}. Québec City: IEEE, 2015, s.~1791-1794. ISBN~978-1-4799-8339-1. Dostupné z: https://dx.doi.org/10.1109/ICIP.2015.7351109.
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