University of Oulu

M. Borovkova et al., "Screening of Alzheimer’s Disease With Multiwavelength Stokes Polarimetry in a Mouse Model," in IEEE Transactions on Medical Imaging, vol. 41, no. 4, pp. 977-982, April 2022, doi: 10.1109/TMI.2021.3129700

Screening of Alzheimer’s disease with multiwavelength stokes polarimetry in a mouse model

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Author: Borovkova, Mariia1; Sieryi, Oleksii1; Lopushenko, Ivan1;
Organizations: 1Optoelectronics and Measurement Techniques Unit, University of Oulu, 90570 Oulu
2Histology, Cytology and Embryology Department, I. M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia
3Department of Pathology, Section of Neuropathology, University of Oslo & Oslo University Hospital, Nydalen, 0424 Oslo, Norway
4Department of Pharmacology, Faculty of Medicine, University of Latvia, 1004 Rfliga, Latvia
5LIED, University of Lübeck, 23538 Lübeck, Germany
6College of Engineering and Physical Sciences, Aston University, Birmingham B4 7ET, U.K.
7Optoelectronics and Measurement Techniques Unit, University of Oulu, 90570 Oulu, Finland
8Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409 Moscow, Russia
9Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, 634050 Tomsk, Russia
10V. A. Negovsky Scientific Research Institute of General Reanimatology, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 141534 Moscow, Russia
11Institute of Clinical Medicine N. V. Sklifosovsky, I. M. Sechenov First Moscow State Medical University, 129090 Moscow, Russia
12Fundamental and Applied Photonics, Nanophotonics, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022082956590
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-08-29
Description:

Abstract

The minimum histological criterion for the diagnostics of Alzheimer’s disease (AD) in tissue is the presence of senile plaques and neurofibrillary tangles in specific brain locations. The routine procedure of morphological analysis implies time-consuming and laborious steps including sectioning and staining of formalin-fixed paraffin-embedded (FFPE) tissue. We developed a multispectral Stokes polarimetric imaging approach that allows characterization of FFPE brain tissue samples to discern the stages of AD progression without sectioning and staining the tissue. The Stokes polarimetry approach is highly sensitive to structural alterations of brain tissue, particularly to the changes in light scattering and birefringence. We present the results of the label-free non-destructive screening of FFPE mouse brain tissue and show several polarization metrics that demonstrate statistically significant differences for tissues at different stages of AD.

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Series: IEEE transactions on medical imaging
ISSN: 0278-0062
ISSN-E: 1558-254X
ISSN-L: 0278-0062
Volume: 41
Issue: 4
Pages: 977 - 982
DOI: 10.1109/tmi.2021.3129700
OADOI: https://oadoi.org/10.1109/tmi.2021.3129700
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
Subjects:
Funding: This work was supported by the Academy of Finland under Grant 314369 and Grant 325097, in part by the ATTRACT Project funded by the European Commission (EC) under Grant 777222, and in part by the INFOTECH Strategic Fund.The work of Mariia Borovkova was supported by the European Union’s Horizon 2020 Research and Innovation Program through the Marie Skłodowska-Curie Grant 713606. The work of Natalia Kartashkina and Igor Meglinski was supported in part by the Decree of the Government of the Russian Federation No. 220 of April 2010 under Grant 075-15-2021-615 of June 2021, and in part by the Ministry of Science and Higher Education of the Russian Federation within the framework of State Support for the Creation and Development of World-ClassResearch Centers “Digital Biodesign and Personalized Healthcare” under Grant 075-15-2020-926. The work of Jens Pahnke was supported in part by the Deutsche Forschungsgemeinschaft/Germany under Grant DFG 263024513; in part by the Latvian Council of Science/Latvia under Grant ShortAbeta lzp-2018/1-0275; in part by the HelseSØ/Norway under Grant 2019054 and Grant 2019055; in part by the EEA Grant/NorgesGrant TAˇCR TARIMAD TO100078; in part by the Norges forskningsrådet/Norway under Grant 260786 PROP-AD, Grant 295910 NAPI,and Grant 327571 PETABC; and in part by the European Commission under Grant 643417.
Academy of Finland Grant Number: 314369
325097
Detailed Information: 314369 (Academy of Finland Funding decision)
325097 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0.
  https://creativecommons.org/licenses/by/4.0/