Biophotonics methods for functional monitoring of complications of diabetes mellitus

Elena V. Zharkikh, Viktor Dremin*, Evgeny Zherebtsov, Andrey V. Dunaev, Igor Meglinski

*Corresponding author for this work

Research output: Contribution to journalReview article

Abstract

The prevalence of diabetes complications is a significant public health problem with a considerable economic cost. Thus, the timely diagnosis of complications and prevention of their development will contribute to increasing the length and quality of patient life, and reducing the economic costs of their treatment. This article aims to review the current state-of-the-art biophotonics technologies used to identify the complications of diabetes mellitus and assess the quality of their treatment. Additionally, these technologies assess the structural and functional properties of biological tissues, and they include capillaroscopy, laser Doppler flowmetry and hyperspectral imaging, laser speckle contrast imaging, diffuse reflectance spectroscopy and imaging, fluorescence spectroscopy and imaging, optical coherence tomography, optoacoustic imaging and confocal microscopy. Recent advances in the field of optical noninvasive diagnosis suggest a wider introduction of biophotonics technologies into clinical practice and, in particular, in diabetes care units.

Original languageEnglish
Article numbere202000203
JournalJournal of Biophotonics
Volume13
Issue number10
Early online date12 Jul 2020
DOIs
Publication statusPublished - 1 Oct 2020

Bibliographical note

© 2020 The Authors. Journal of Biophotonics published by Wiley‐VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Funding: H2020 Marie Skłodowska-Curie Actions (GrantNumber(s): 839888); Academy of Finland (GrantNumber(s): 318281, 325097, 326204);
MEPhI Academic Excellence Project (GrantNumber(s): 02.a03.21.0005);
National Research Tomsk State University Academic D.I. Mendeleev Fund Program

Keywords

  • biomedical photonics
  • diabetes mellitus
  • imaging
  • optical noninvasive diagnostics
  • spectroscopy

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