Alejandro Apolinar–Fernández

This paper introduces DD-TFM, a data-driven 3D traction force microscopy method that models collagen hydrogels as discrete fiber networks, revealing fiber-level matrix deformations caused by endothelial cells.

This paper introduces an inverse methodology for 3DTFM to reconstruct spatially heterogeneous ECM stiffness distributions, validated using in silico cases and compared to L-BFGS.

This paper develops a multiscale computational framework to model the mechanical behavior of curved fibered structures, showing how bending energy influences deformation in collagen-like matrices.