Suñé Auñón, AlejandroPeñas, Alvaro JorgeVan Oosterwyck, HansMuñoz Barrutia, María Arrate2017-02-102017-02-102016-06-16IEEE, 2016, pp. 140-144978-1-4799-2349-61945-8452https://hdl.handle.net/10016/24178Proceeding of: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, Prague, 13-16 April, 2016.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.5application/pdfeng© 2016. IEEECellular biophysicsImage reconstructionMedical image processingMicroscopyL1-norm regularizationL1-regularized reconstructionTikhonov regularizationCellular tractionsIll-posed inverse problemRegularization schemeTraction force microscopyTraction recoveryTwodimensionalconference proceedingsBiología y BiomedicinaMedicinahttps://doi.org/10.1109/ISBI.2016.7493230open access1401442016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)CC/0000024738