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L1-regularized reconstruction for traction force microscopy

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dc.affiliation.dptoUC3M. Departamento de Bioingenieríaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: BSEL - Laboratorio de Ciencia e Ingeniería Biomédicaes
dc.contributor.authorSuñé Auñón, Alejandro
dc.contributor.authorPeñas, Alvaro Jorge
dc.contributor.authorVan Oosterwyck, Hans
dc.contributor.authorMuñoz Barrutia, María Arrate
dc.date.accessioned2017-02-10T11:03:41Z
dc.date.available2017-02-10T11:03:41Z
dc.date.issued2016-06-16
dc.descriptionProceeding of: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, Prague, 13-16 April, 2016.es
dc.description.abstractTraction 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.es
dc.description.sponsorshipThis 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 Programen
dc.description.sponsorshipEuropean Community's Seventh Framework Programen
dc.format.extent5
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE, 2016, pp. 140-144es
dc.identifier.doihttps://doi.org/10.1109/ISBI.2016.7493230
dc.identifier.isbn978-1-4799-2349-6
dc.identifier.issn1945-8452
dc.identifier.publicationfirstpage140
dc.identifier.publicationlastpage144
dc.identifier.publicationtitle2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)en
dc.identifier.urihttps://hdl.handle.net/10016/24178
dc.identifier.uxxiCC/0000024738
dc.language.isoeng
dc.publisherIEEEen
dc.relation.eventdate2016-04-13/2016-04-16
dc.relation.eventplaceREPUBLICA CHECAes
dc.relation.eventtitle2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)en
dc.relation.projectIDGobierno de España. TEC2013-48552-C2-1-Res
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/308223es
dc.relation.publisherversionhttps://doi.org/10.1109/ISBI.2016.7493230
dc.rights© 2016. IEEEes
dc.rights.accessRightsopen access
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.ecienciaMedicinaes
dc.subject.otherCellular biophysicses
dc.subject.otherImage reconstructiones
dc.subject.otherMedical image processinges
dc.subject.otherMicroscopyes
dc.subject.otherL1-norm regularizationes
dc.subject.otherL1-regularized reconstructiones
dc.subject.otherTikhonov regularizationes
dc.subject.otherCellular tractionses
dc.subject.otherIll-posed inverse problemes
dc.subject.otherRegularization schemees
dc.subject.otherTraction force microscopyes
dc.subject.otherTraction recoveryes
dc.subject.otherTwodimensionales
dc.titleL1-regularized reconstruction for traction force microscopyes
dc.typeconference proceedings*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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