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