Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy

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Show simple item record Peñas, Alvaro Jorge Izquierdo Álvarez, Alicia Aguilar Cuenca, Rocio Manzanares, Miguel Vicente García Aznar, José Manuel Van Oosterwyck, Hans De Juan Pardo, Elena M. Ortiz de Solórzano, Carlos Muñoz Barrutia, María Arrate 2017-02-13T09:09:10Z 2017-02-13T09:09:10Z 2015-12-07
dc.identifier.bibliographicCitation PLoS ONE, 2015, 10 (12), pp. 1-22.
dc.identifier.issn 1932-6203
dc.description.abstract Traction Force Microscopy (TFM) is a widespread method used to recover cellular tractions from the deformation that they cause in their surrounding substrate. Particle Image Velocimetry (PIV) is commonly used to quantify the substrate's deformations, due to its simplicity and efficiency. However, PIV relies on a block-matching scheme that easily underestimates the deformations. This is especially relevant in the case of large, locally non-uniform deformations as those usually found in the vicinity of a cell's adhesions to the substrate. To overcome these limitations, we formulate the calculation of the deformation of the substrate in TFM as a non-rigid image registration process that warps the image of the unstressed material to match the image of the stressed one. In particular, we propose to use a B-spline -based Free Form Deformation (FFD) algorithm that uses a connected deformable mesh to model a wide range of flexible deformations caused by cellular tractions. Our FFD approach is validated in 3D fields using synthetic (simulated) data as well as with experimental data obtained using isolated endothelial cells lying on a deformable, polyacrylamide substrate. Our results show that FFD outperforms PIV providing a deformation field that allows a better recovery of the magnitude and orientation of tractions. Together, these results demonstrate the added value of the FFD algorithm for improving the accuracy of traction recovery.
dc.description.sponsorship Funded by Ministerio de Economía y Competividad (ES); url:; RyC2010-06094, Fundación Ramón Areces (ES); url:, Ministerío de Economía y Competividad (ES); url:; SAF2011-24953 (MVM); Ministerio de Economía y Competividad (ES); url:; DPI2012-38090-C1, European Research Council (BE); url:; 306751 (JMGA); European Research Council (BE); url:; 308223 (HVO); Ministerio de Economía y Competividad (ES); url:; DPI2012-38090-C3 (COS); and Ministerio de Economía y Competividad (ES); url:; TEC2013- 48552-C2-1-R (AMB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.description.sponsorship European Community's Seventh Framework Program
dc.format.extent 22
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher PLOS ONE
dc.rights © 2015, Authors
dc.rights Atribución 3.0 España
dc.subject.other smooth muscle cells
dc.subject.other substrate
dc.subject.other stiffness
dc.subject.other matrices
dc.subject.other gradient
dc.subject.other moments
dc.title Free Form Deformation-Based Image Registration Improves Accuracy of Traction Force Microscopy
dc.type article
dc.subject.eciencia Biología y Biomedicina
dc.subject.eciencia Medicina
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. RyC2010-06094
dc.relation.projectID Gobierno de España. SAF2011-24953
dc.relation.projectID Gobierno de España. DPI2012-38090-C1
dc.relation.projectID Gobierno de España. DPI2012-38090-C3
dc.relation.projectID Gobierno de España. TEC2013-48552-C2-1-R
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/308223
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 12
dc.identifier.publicationlastpage 22
dc.identifier.publicationtitle PloS one
dc.identifier.publicationvolume 10
dc.identifier.uxxi AR/0000017586
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