000078336 001__ 78336 000078336 005__ 20201113085627.0 000078336 0247_ $$2doi$$a10.1007/978-3-319-68195-5_59 000078336 0248_ $$2sideral$$a101853 000078336 037__ $$aART-2018-101853 000078336 041__ $$aeng 000078336 100__ $$0(orcid)0000-0002-3784-1140$$aBorau, Carlos$$uUniversidad de Zaragoza 000078336 245__ $$aA workbench for biomedical applications based on image analysis 000078336 260__ $$c2018 000078336 5060_ $$aAccess copy available to the general public$$fUnrestricted 000078336 5203_ $$aUnraveling the underlying mechanisms involved in single and collective cell migration, organization, tissue formation and regeneration are some of the currently spearheading research topics worldwide. To overcome the intrinsic difficulties associated to realistic environments in 3D, a multidisciplinary framework combining computer simulations and experiments is proposed. The success of this approach relies on result validation (quantitative comparison: computational vs. experimental), so we have polished different techniques and computational tools to get as accurate measurements as possible. For that, we take advantage of our own designed microfluidic devices and perform thorough image and statistical analyses. 000078336 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/DPI2015-64221-C2-1-R$$9info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL$$9info:eu-repo/grantAgreement/ES/DGA/C126-2015$$9info:eu-repo/grantAgreement/ES/DGA/C126 000078336 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000078336 592__ $$a0.224$$b2018 000078336 593__ $$aArtificial Intelligence$$c2018$$dQ3 000078336 593__ $$aBiomedical Engineering$$c2018$$dQ3 000078336 593__ $$aSignal Processing$$c2018$$dQ3 000078336 593__ $$aComputer Vision and Pattern Recognition$$c2018$$dQ3 000078336 593__ $$aMechanical Engineering$$c2018$$dQ3 000078336 593__ $$aComputer Science Applications$$c2018$$dQ3 000078336 655_4 $$ainfo:eu-repo/semantics/conferenceObject$$vinfo:eu-repo/semantics/acceptedVersion 000078336 700__ $$0(orcid)0000-0002-3796-4482$$aAmo, Cristina del$$uUniversidad de Zaragoza 000078336 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, Jesús$$uUniversidad de Zaragoza 000078336 700__ $$0(orcid)0000-0002-0163-8378$$aMovilla, Nieves 000078336 700__ $$0(orcid)0000-0002-8656-7846$$aCóndor, Mar$$uUniversidad de Zaragoza 000078336 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía-Aznar, José Manuel$$uUniversidad de Zaragoza 000078336 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera. 000078336 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est. 000078336 773__ $$g27 (2018), 544-547$$pLect. notes comput. vis. biomech.$$tLecture Notes in Computational Vision and Biomechanics$$x2212-9391 000078336 8564_ $$s119563$$uhttps://zaguan.unizar.es/record/78336/files/texto_completo.pdf$$yPostprint 000078336 8564_ $$s7427$$uhttps://zaguan.unizar.es/record/78336/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000078336 909CO $$ooai:zaguan.unizar.es:78336$$particulos$$pdriver 000078336 951__ $$a2020-11-13-08:46:37 000078336 980__ $$aARTICLE