000108529 001__ 108529
000108529 005__ 20230519145513.0
000108529 0247_ $$2doi$$a10.1371/journal.pone.0249018
000108529 0248_ $$2sideral$$a124815
000108529 037__ $$aART-2021-124815
000108529 041__ $$aeng
000108529 100__ $$0(orcid)0000-0001-8324-5596$$aHervás Raluy, Silvia$$uUniversidad de Zaragoza
000108529 245__ $$aA new 3d finite element-based approach for computing cell surface tractions assuming nonlinear conditions
000108529 260__ $$c2021
000108529 5060_ $$aAccess copy available to the general public$$fUnrestricted
000108529 5203_ $$aAdvances in methods for determining the forces exerted by cells while they migrate are essential for attempting to understand important pathological processes, such as cancer or angiogenesis, among others. Precise data from three-dimensional conditions are both difficult to obtain and manipulate. For this purpose, it is critical to develop workflows in which the experiments are closely linked to the subsequent computational postprocessing. The work presented here starts from a traction force microscopy (TFM) experiment carried out on microfluidic chips, and this experiment is automatically joined to an inverse problem solver that allows us to extract the traction forces exerted by the cell from the displacements of fluorescent beads embedded in the extracellular matrix (ECM). Therefore, both the reconstruction of the cell geometry and the recovery of the ECM displacements are used to generate the inputs for the resolution of the inverse problem. The inverse problem is solved iteratively by using the finite element method under the hypothesis of finite deformations and nonlinear material formulation. Finally, after mathematical postprocessing is performed, the traction forces on the surface of the cell in the undeformed configuration are obtained. Therefore, in this work, we demonstrate the robustness of our computational-based methodology by testing it under different conditions in an extreme theoretical load problem and then by applying it to a real case based on experimental results. In summary, we have developed a new procedure that adds value to existing methodologies for solving inverse problems in 3D, mainly by allowing for large deformations and not being restricted to any particular material formulation. In addition, it automatically bridges the gap between experimental images and mechanical computations.
000108529 536__ $$9info:eu-repo/grantAgreement/EC/H2020/737543/EU/Image Analysis Online Services for in-vitro experiments/IMAGO$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 737543-IMAGO$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21
000108529 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000108529 590__ $$a3.752$$b2021
000108529 592__ $$a0.852$$b2021
000108529 591__ $$aMULTIDISCIPLINARY SCIENCES$$b29 / 74 = 0.392$$c2021$$dQ2$$eT2
000108529 593__ $$aMultidisciplinary$$c2021$$dQ1
000108529 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000108529 700__ $$0(orcid)0000-0002-1878-8997$$aGómez Benito, María José$$uUniversidad de Zaragoza
000108529 700__ $$0(orcid)0000-0002-3784-1140$$aBorau Zamora, Carlos$$uUniversidad de Zaragoza
000108529 700__ $$0(orcid)0000-0002-8656-7846$$aCondor, Mar
000108529 700__ $$0(orcid)0000-0002-9864-7683$$aGarcía Aznar, José Manuel$$uUniversidad de Zaragoza
000108529 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000108529 773__ $$g16, 4 (2021), e0249018 [19 pp.]$$pPLoS One$$tPLoS ONE$$x1932-6203
000108529 8564_ $$s2727899$$uhttps://zaguan.unizar.es/record/108529/files/texto_completo.pdf$$yVersión publicada
000108529 8564_ $$s2297558$$uhttps://zaguan.unizar.es/record/108529/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000108529 909CO $$ooai:zaguan.unizar.es:108529$$particulos$$pdriver
000108529 951__ $$a2023-05-18-15:13:46
000108529 980__ $$aARTICLE