A workbench for biomedical applications based on image analysis

Borau, Carlos (Universidad de Zaragoza) ; Amo, Cristina del (Universidad de Zaragoza) ; Asín, Jesús (Universidad de Zaragoza) ; Movilla, Nieves ; Cóndor, Mar (Universidad de Zaragoza) ; García-Aznar, José Manuel (Universidad de Zaragoza)

Resumen: Unraveling 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.

Idioma: Inglés

DOI: 10.1007/978-3-319-68195-5_59

Año: 2018

Publicado en: Lecture Notes in Computational Vision and Biomechanics 27 (2018), 544-547
ISSN: 2212-9391

Factor impacto SCIMAGO: 0.224 - Artificial Intelligence (Q3) - Biomedical Engineering (Q3) - Signal Processing (Q3) - Computer Vision and Pattern Recognition (Q3) - Mechanical Engineering (Q3) - Computer Science Applications (Q3)

Financiación: info:eu-repo/grantAgreement/ES/DGA/C126
Financiación: info:eu-repo/grantAgreement/ES/DGA/C126-2015
Financiación: info:eu-repo/grantAgreement/EC/FP7/306571/EU/Predictive modelling and simulation in mechano-chemo-biology: a computer multi-approach/INSILICO-CELL
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2015-64221-C2-1-R

Tipo y forma: Congress (PostPrint)

Área (Departamento): Área Estadís. Investig. Opera. (Dpto. Métodos Estadísticos)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)