Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices

José J. Gil
* ORCID logo ,
Ignacio San José
ORCID logo ,
Mónica Canabal-Carbia
ORCID logo ,
Irene Estévez
ORCID logo ,
Emilio González-Arnay
,
Jordi Luque
ORCID logo ,
Teresa Garnatje
,
Juan Campos
,
Angel LIzana
ORCID logo
Version 1 : Received: 3 May 2023 / Approved: 4 May 2023 / Online: 4 May 2023 (05:54:02 CEST)

A peer-reviewed article of this Preprint also exists.

Gil, J.J.; San José, I.; Canabal-Carbia, M.; Estévez, I.; González-Arnay, E.; Luque, J.; Garnatje, T.; Campos, J.; Lizana, A. Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices. Photonics 2023, 10, 669. Gil, J.J.; San José, I.; Canabal-Carbia, M.; Estévez, I.; González-Arnay, E.; Luque, J.; Garnatje, T.; Campos, J.; Lizana, A. Polarimetric Images of Biological Tissues Based on the Arrow Decomposition of Mueller Matrices. Photonics 2023, 10, 669.

Abstract

Through the arrow decomposition of the Mueller matrix, respective sets of sixteen independent polarimetric images of biological tissues are obtained for enpolarizing, retarding and depolariz-ing descriptors. In addition to the mean intensity coefficient and the three indices of polarimetric purity, the absolute values and Poincaré orientations of diattenuation, polarizance, entrance re-tardance and exit retardance vectors are considered. In this work we use for the first time this set of polarimetric observables for the visualization of biological structures, both of animal and vege-tal origin. Results show images with enhanced visualization derived from the spatial variation of such significant polarimetric properties. The experimental results are discussed, showing the suit-ability of such set of observables for applications in biophotonics imaging, providing not only ex-cellent visualization of biological tissues, but also showing structures not visible in non-polarimetric images.

Keywords

Polarimetric imaging; Mueller matrix; polarimetry; diattenuation; polarizance; depolarization; biophotonics

Subject

Physical Sciences, Optics and Photonics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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