Evaluating β-amyloidosis progression in Alzheimer’s disease with Mueller polarimetry

Mariia Borovkova, Alexander Bykov, Alexey Popov, Angelo Pierangelo, Tatiana Novikova, Jens Pahnke, Igor Meglinski

Research output: Contribution to journalArticlepeer-review

Abstract

We applied the wide-field Mueller imaging polarimetry for the screening of formalin-fixed paraffin-embedded samples of mouse brain tissue at different stages of brain β-amyloidosis in Alzheimer’s disease (AD). The accumulation of amyloid-beta (Aβ) deposits throughout the brain tissue is one of the key pathological hallmarks observed with the AD progression. We demonstrate that the presence of Aβ plaques influences the properties of backscattered polarized light, in particular, its degree of depolarization. By means of statistical analysis, we demonstrate that the high-order statistical moments of depolarization distributions, acquired with the multi-spectral Mueller imaging polarimetry, can be used as sensitive markers of the growing presence of Aβ plaques. The introduced label-free polarimetric approach has a potential to facilitate the current practice of the histopathology screening in terms of diagnosis accuracy, time and cost efficiency.

Original languageEnglish
Pages (from-to)4509-4519
Number of pages11
JournalBiomedical Optics Express
Volume11
Issue number8
Early online date21 Jul 2020
DOIs
Publication statusPublished - 1 Aug 2020

Bibliographical note

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Funding: Horizon 2020 Framework Programme (Marie Skłodowska-Curie grant No.713606, 643417); Cost
Actions (CA16118); the ATTRACT project funded by the EC under Grant Agreement (777222);
Academy of Finland (314369, 325097, 326204); INFOTECH strategic funding; Deutsche
Forschungsgemeinschaft (DFG PA930/12); Latvian Council of Science FLPP (lzp-2018/1-0275);
Nasjonalforeningen for Folkehelsen (16154); HelseSØ (2016062, 2019054, 2019055); Norges
Forskningsråd (251290 FRIMED2, 260786 PROP-AD); MEPhI Academic Excellence Project
(02.a03.21.0005); Russian Science Foundation (19-72-30012); Tomsk State University (D.I.
Mendeleev Fund Program).

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