L1-regularized reconstruction for traction force microscopy

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dc.contributor.author Suñé Auñón, Alejandro
dc.contributor.author Peñas, Alvaro Jorge
dc.contributor.author Van Oosterwyck, Hans
dc.contributor.author Muñoz-Barrutia, Arrate
dc.date.accessioned 2017-02-10T11:03:41Z
dc.date.available 2017-02-10T11:03:41Z
dc.date.issued 2016-06-16
dc.identifier.bibliographicCitation IEEE, 2016, pp. 140-144
dc.identifier.isbn 978-1-4799-2349-6
dc.identifier.issn 1945-8452
dc.identifier.uri http://hdl.handle.net/10016/24178
dc.description Proceeding of: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, Prague, 13-16 April, 2016.
dc.description.abstract Traction Force Microscopy (TFM) is a technique widely used to recover cellular tractions from the deformation they cause in their surrounding substrate. Traction recovery is an ill-posed inverse problem that benefits of a regularization scheme constraining the solution. Typically, Tikhonov regularization is used but it is well known that L1-regularization is a superior alternative to solve this type of problems. For that, recent approaches have started to explore what could be their contribution to increase the sensitivity and resolution in the estimation of the exerted tractions. In this manuscript, we adapt the L1-regularization of the curl and divergence to 2D TFM and compare the recovered tractions on simulated and real data with those obtained using Tikhonov and L1-norm regularization.
dc.description.sponsorship This work was partially supported by the European Research Council (ERC) under the EU-FP7/2007-2013 through ERC Grant Agreement nº 308223, and the Spanish Ministry of Economy and Competitiveness (TEC2013-48552-C2-1-R). European Community's Seventh Framework Program
dc.description.sponsorship European Community's Seventh Framework Program
dc.format.extent 5
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2016. IEEE
dc.subject.other Cellular biophysics
dc.subject.other Image reconstruction
dc.subject.other Medical image processing
dc.subject.other Microscopy
dc.subject.other L1-norm regularization
dc.subject.other L1-regularized reconstruction
dc.subject.other Tikhonov regularization
dc.subject.other Cellular tractions
dc.subject.other Ill-posed inverse problem
dc.subject.other Regularization scheme
dc.subject.other Traction force microscopy
dc.subject.other Traction recovery
dc.subject.other Twodimensional
dc.title L1-regularized reconstruction for traction force microscopy
dc.type conferenceObject
dc.relation.publisherversion https://doi.org/10.1109/ISBI.2016.7493230
dc.subject.eciencia Biología y Biomedicina
dc.subject.eciencia Medicina
dc.identifier.doi https://doi.org/10.1109/ISBI.2016.7493230
dc.rights.accessRights openAccess
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.relation.eventdate 2016-04-13/2016-04-16
dc.relation.eventplace REPUBLICA CHECA
dc.relation.eventtitle 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 140
dc.identifier.publicationlastpage 144
dc.identifier.publicationtitle 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
dc.identifier.uxxi CC/0000024738
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