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Polarized light interaction with tissues
Abstract
This tutorial-review introduces the fundamentals of polarized light interaction with biological tissues and presents some of the recent key polarization optical methods that have made possible the quantitative studies essential for biomedical diagnostics. Tissue structures and the corresponding models showing linear and circular birefringence, dichroism, and chirality are analyzed. As the basis for a quantitative description of the interaction of polarized light with tissues, the theory of polarization transfer in a random medium is used. This theory employs the modified transfer equation for Stokes parameters to predict the polarization properties of single- and multiple-scattered optical fields. The near-order of scatterers in tissues is accounted for to provide an adequate description of tissue polarization properties. Biomedical diagnostic techniques based on polarized light detection, including polarization imaging and spectroscopy, amplitude and intensity light scattering matrix measurements, and polarization-sensitive optical coherence tomography are described. Examples of biomedical applications of these techniques for early diagnostics of cataracts, detection of precancer, and prediction of skin disease are presented. The substantial reduction of light scattering multiplicity at tissue optical clearing that leads to a lesser influence of scattering on the measured intrinsic polarization properties of the tissue and allows for more precise quantification of these properties is demonstrated.
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“In addition, changes in the polarisation state of light can be used to provide information about tissues, including the superficial layers of the skin, by characterising the depolarisation of light as it propagates [88,89].”
From Relevance and utility of the in-vivo and ex-vivo optical properties of the skin reported in the literature: a review [Invited] (2023) · cites this paper as [89]
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Metadata
- Authors
- Tuchin, V. V.
- Affiliations
- Saratov State University (RU)
- Corresponding author
- Tuchin, Valery V.
- ORCID
- Tuchin, Valery V.
- Venue
- Journal of Biomedical Optics
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 2016-04-28
- Volume
- 21
- Issue
- 07
- Pages
- 1-37
- ISSN
- 1083-3668 (ISSN-L)
- 1560-2281
- OpenAlex
- W2343259352
- Cited by
- 384
- References
- 277
- Citations by year
- 2026: 27 · 2025: 43 · 2024: 48 · 2023: 51 · 2022: 62 · 2021: 41 · 2020: 35 · 2019: 34 · 2018: 23 · 2017: 10 · 2016: 3
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Biomedical Optics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Government of the Russian Federation (14.Z50.31.0004)
- Russian Government (14.Z50.31.0004)
- Russian Governmental (14.Z50.31.0004)
- RF Government (14.Z50.31.0004)
- Russian Science Foundation (14-15-00186)
- Russian Science (14-15-00186)
- Wuhan National Laboratory for Optoelectronics, and the Russian Science Foundation (14-15-00186)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Optical Polarization and Ellipsometry
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
- Keywords
- polarized light, tissue optical properties, birefringence, dichroism, chirality, polarization transfer, Stokes parameters, multiple scattering, polarization imaging, polarization spectroscopy, polarization-sensitive optical coherence tomography, cataract diagnosis, precancer detection, skin disease prediction, tissue clearing, biomedical diagnostics
- MeSH terms
- Birefringence, Diagnostic Imaging, Light, Nephelometry and Turbidimetry, Spectrum Analysis, Biomedical Technology, Tomography, Optical Coherence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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