Detailed Information on Publication Record
2015
Characterization of the Role of Collagen Network Structure and Composition in Cancer Cell Migration
ANGUIANO, María, Carlos CASTILLA, Martin MAŠKA, Cristina EDERRA, Javier FERNÁNDEZ-MARQUÉS et. al.Basic information
Original name
Characterization of the Role of Collagen Network Structure and Composition in Cancer Cell Migration
Authors
ANGUIANO, María (724 Spain), Carlos CASTILLA (724 Spain), Martin MAŠKA (203 Czech Republic, guarantor, belonging to the institution), Cristina EDERRA (724 Spain), Javier FERNÁNDEZ-MARQUÉS (724 Spain), Rafael PELÁEZ (724 Spain), Ana ROUZAUT (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Michal KOZUBEK (203 Czech Republic, belonging to the institution) and Carlos ORTIZ-DE-SOLÓRZANO (724 Spain)
Edition
Milano, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p. 8139-8142, 4 pp. 2015
Publisher
IEEE
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/15:00080823
Organization unit
Faculty of Informatics
ISBN
978-1-4244-9271-8
ISSN
UT WoS
000371717208103
Keywords in English
collagen network geometry; confocal reflection microscopy; Matrigel; steerable filtering; pore size; cell migration
Tags
International impact, Reviewed
Změněno: 28/4/2016 14:15, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
The geometry of 3D collagen networks is a key factor that influences the behavior of live cells within extracellular matrices. This paper presents a method for automatic quantification of the 3D collagen network geometry with fiber resolution in confocal reflection microscopy images. The proposed method is based on a smoothing filter and binarization of the collagen network followed by a fiber reconstruction algorithm. The method is validated on 3D collagen gels with various collagen and Matrigel concentrations. The results reveal that Matrigel affects the collagen network geometry by decreasing the network pore size while preserving the fiber length and fiber persistence length. The influence of network composition and geometry, especially pore size, is preliminarily analyzed by quantifying the migration patterns of lung cancer cells within microfluidic devices filled with three different hydrogel types. The experiments reveal that Matrigel, while decreasing pore size, stimulates cell migration. Further studies on this relationship could be instrumental for the study of cancer metastasis and other biological processes involving cell migration.
Links
EE2.3.30.0009, research and development project |
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GBP302/12/G157, research and development project |
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