2026-04-14T02:36:58Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/22642025-10-22T11:27:14Zcom_2072_4428com_2072_4427col_2072_487898

00925njm 22002777a 4500 dc Gil, José J. author San José, Ignacio author Canabal-Carbia, Mónica author Estévez, Irene author González-Arnay, Emilio author Luque, Jordi author Garnatje, Teresa author Campos, Juan author Lizana, Angel author 2023-06-08 Polarimetric techniques are widely used in a vast number of applications such as remote sensing, material characterization, astronomy and biological tissue inspection. In this last scenario, different polarimetric observables have proved their potential for enhancing imaging visualization. In this work we use a set of polarimetric observables derived from the arrow decomposition of the Mueller matrix for the first time: enpolarizing, retarding and depolarizing descriptors. In particular, the mean intensity coefficient and the three indices of polarimetric purity, the absolute values and Poincaré orientations of diattenuation, polarizance, entrance retardance and exit retardance vectors are considered. Results show images with enhanced visualization or even revealing invisible structures when compared to standard intensity images. In particular, thanks to these metrics, we improve the visualization of the necrotic areas of a Vitis rupestris leaf. In the case of animal samples, boundaries between different fascicles inside a tendon of an ex vivo chicken sample are revealed, as is the directionality of fiber tracts of the subcortical white matter in an ex vivo cow brain. The experimental results show the potential for biophotonics imaging and how polarimetric techniques could be useful for biomedical and botanical applications. Gil, José J., Ignacio San José, Mónica Canabal-Carbia, Irene Estévez, Emilio González-Arnay, Jordi Luque, Teresa Garnatje, Juan Campos, and Angel Lizana. 2023. "Polarimetric Images Of Biological Tissues Based On The Arrow Decomposition Of Mueller Matrices". Photonics 10 (6): 669. https://www.mdpi.com/2304-6732/10/6/669. 2304-6732 http://hdl.handle.net/20.500.12327/2264 https://doi.org/10.3390/photonics10060669 Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices