RT Conference Proceedings
T1 L1-regularized reconstruction for traction force microscopy
A1 Suñé Auñón, Alejandro
A1 Peñas, Alvaro Jorge
A1 Van Oosterwyck, Hans
A1 Muñoz Barrutia, María Arrate
AB 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.
PB IEEE
SN 978-1-4799-2349-6
SN 1945-8452
YR 2016
FD 2016-06-16
LK https://hdl.handle.net/10016/24178
UL https://hdl.handle.net/10016/24178
LA eng
NO Proceeding of: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, Prague, 13-16 April, 2016.
NO 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
NO European Community's Seventh Framework Program
DS e-Archivo
RD 17 jul. 2024