86483 20201113085629.0 doi 10.1017/S1431927619014570 sideral 113113 ART-2019-113113 eng Olivares, Vanesa Image-based characterization of 3D collagen networks and the effect of embedded cells 2019 Access copy available to the general public Unrestricted Collagen microstructure is closely related to the mechanical properties of tissues and affects cell migration through the extracellular matrix. To study these structures, three-dimensional (3D) in vitro collagen-based gels are often used, attempting to mimic the natural environment of cells. Some key parameters of the microstructure of these gels are fiber orientation, fiber length, or pore size, which define the mechanical properties of the network and therefore condition cell behavior. In the present study, an automated tool to reconstruct 3D collagen networks is used to extract the aforementioned parameters of gels of different collagen concentration and determine how their microstructure is affected by the presence of cells. Two different experiments are presented to test the functionality of the method: first, collagen gels are embedded within a microfluidic device and collagen fibers are imaged by using confocal fluorescence microscopy; second, collagen gels are directly polymerized in a cell culture dish and collagen fibers are imaged by confocal reflection microscopy. Finally, we investigate and compare the collagen microstructure far from and in the vicinities of MDA-MB 23 cells, finding that cell activity during migration was able to strongly modify the orientation of the collagen fibers and the porosity-related values. info:eu-repo/grantAgreement/ES/DGA/E46-17R info:eu-repo/grantAgreement/ES/DGA/T50-17R info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL info:eu-repo/grantAgreement/EC/H2020/737543/EU/Image Analysis Online Services for in-vitro experiments/IMAGO This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 737543-IMAGO info:eu-repo/grantAgreement/ES/MICINN/MTM2017-83812-P info:eu-repo/grantAgreement/ES/MINECO/DPI2015-64221-C2-1-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 3.414 2019 MICROSCOPY 2 / 10 = 0.2 2019 Q1 T1 MATERIALS SCIENCE, MULTIDISCIPLINARY 114 / 314 = 0.363 2019 Q2 T2 0.611 2019 Instrumentation 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-8656-7846 Cóndor, Mar (orcid)0000-0002-3796-4482 Amo, Cristina del (orcid)0000-0002-0174-789X Asín, Jesús Universidad de Zaragoza (orcid)0000-0002-3784-1140 Borau, Carlos (orcid)0000-0002-9864-7683 García-Aznar, José Manuel Universidad de Zaragoza 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 25, 4 (2019), 971-981 [25 pp.] Microsc. microanal. MICROSCOPY AND MICROANALYSIS 1431-9276 1015252 http://zaguan.unizar.es/record/86483/files/texto_completo.pdf Postprint 96880 http://zaguan.unizar.es/record/86483/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:86483 articulos driver 2020-11-13-08:47:43 ARTICLE