Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology


Tissue polarimetry could be identified as a complementary optical and non-invasive technique to assist the gold standard histopathology analysis of tissue. In general, polarimetric diagnostics is based on tracing different polarimetric responses (including light depolarization) in tissue zones with structure altered by the benign and pre/cancerous formations. In this manuscript, both healthy and malignant tissue zones of a thick formalin-fixed colon specimen were used for Mueller matrix measurements. Additionally, two more Mueller matrices from Monte Carlo simulation and tissue mimicking phantom were also evaluated, in order to assess polarimetric char- acterization and modeling of turbid media. Symmetric decomposition algorithm of Mueller matrices developed in house was adopted to extract both polarization and depolarization properties, encoded in the Mueller matrix elements. The decomposition products allowed to reveal important information about the internal tissue struc- ture and morphology. The depolarization and polarization parameters were found to follow the particular trends that depend on a choice of parametric space.

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Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Additional Information: Copyright 2021 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Publication ISSN: 1996-756X
Last Modified: 14 May 2024 07:24
Date Deposited: 01 Jun 2021 15:11
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Related URLs: https://www.spi ... 8090.full?SSO=1 (Publisher URL)
PURE Output Type: Conference article
Published Date: 2021-03-05
Accepted Date: 2021-01-01
Authors: Ivanov, Deyan
Dremin, Viktor (ORCID Profile 0000-0001-6974-3505)
Borisova, Ekaterina
Bykov, Alexander
Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)
Novikova, Tatiana
Ossikovski, Razvigor
Ramella-Roman, Jessica C.
Novikova, Tatiana



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