Biological tissue enhanced visualization through polarimetric observables

Mónica Canabal-Carbia*, Irene Estévez, Adriana R. Sánchez-Montes, Maria Marroco, Jose J. Gil, Ignacio San José, Emilio González-Arnay, Juan Campos, Angel Lizana

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

1 Cita (Scopus)

Resumen

Polarimetry comprises a set of optical techniques of great interest in biophotonics due to its capability to obtain relevant information from biological samples by means of noninvasive and nondestructive methods. For instance, they are useful in pathology detection or different biological structures classification, among others. By studying the polarimetric response of biological samples we can obtain the information of how different structures produce different changes in the polarimetric characteristics of light. These changes depend on the polarimetric properties of the samples: depolarization, dichroism or retardance. From the experimental measurement of the Mueller matrix (M) of a sample, these polarimetric observables related to the mentioned tissue properties can be obtained. In this work, we propose the study of a particular set of observables derived from the Arrow decomposition of M. These parameters are used to inspect different biological tissues properties with the purpose of obtaining images with enhanced contrast of different biological structures in a tissue. In particular, we applied these observables to the study of a sample of animal origin: an ex-vivo cow brain; in order to differenciate between white and gray matter. Obtained results provide the interest of Arrow-derived polarimetric observables which may be of interest in multiple biomedical scenarios such as early pathology detection and diagnosis or enhanced visualization of different structures for clinical applications.

Idioma originalInglés
Número de artículo126220A
PublicaciónProceedings of SPIE - The International Society for Optical Engineering
Volumen12622
N.º126220A
DOI
EstadoPublicada - 2023

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