Carla Rodríguez

TL;DR: The interest of using the indices of polarimetric purity (IPPs) to the inspection of biological tissues is highlighted and a pseudo-colored encoding of the IPP information that leads to an improved visualization of samples is proposed that opens the possibility of tailored adjustment of tissues contrast by using customized pseudo- colored images.

TL;DR: Using the measured Mueller matrix of a sample, a widespread number of PG configurations can be evaluated just from analytical expressions based on the MM coefficients, which shows the interest of controlling the helicity of the states of polarization used for PG-based metrology.

TL;DR: The results illustrate the way to determine the set of depolarization metrics which optimizes tissue classification efficiencies, and show the interest of the method which is general, and which can be applied to study multiple types of biological samples, including of course human tissues.

TL;DR: In this paper, the potential of a predictive optical model method for tissue recognition, based on the statistical analysis of different polarimetric indicators that retrieve complete polarIMetric information (selective absorption, retardance and depolarization) of samples.

TL;DR: Different applications of IPPs in biomedical tissue that show its potential are presented, which are not restricted to the biomedical framework as relevant results in plants characterization are also presented.