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Kvantovaya Elektronika, 2008, Volume 38, Number 6, Pages 551–556 (Mi qe13850)  

This article is cited in 44 scientific papers (total in 44 papers)

Special issue devoted to application of laser technologies in biophotonics and biomedical studies

Functional imaging and assessment of the glucose diffusion rate in epithelial tissues in optical coherence tomography

K. V. Larinab, V. V. Tuchinac

a Saratov State University
b Department of Biomedical Engineering, University of Houston, USA
c Institute of Precision Mechanics and Control, Russian Academy of Sciences, Saratov
Abstract: Functional imaging, monitoring and quantitative description of glucose diffusion in epithelial and underlying stromal tissues in vivo and controlling of the optical properties of tissues are extremely important for many biomedical applications including the development of noninvasive or minimally invasive glucose sensors as well as for therapy and diagnostics of various diseases, such as cancer, diabetic retinopathy, and glaucoma. Recent progress in the development of a noninvasive molecular diffusion biosensor based on optical coherence tomography (OCT) is described. The diffusion of glucose was studied in several epithelial tissues both in vitro and in vivo. Because OCT provides depth-resolved imaging of tissues with high in-depth resolution, the glucose diffusion is described not only as a function of time but also as a function of depth.
Received: 13.02.2008
Revised: 13.03.2008
English version:
Quantum Electronics, 2008, Volume 38, Issue 6, Pages 551–556
DOI: https://doi.org/10.1070/QE2008v038n06ABEH013850
Bibliographic databases:
Document Type: Article
PACS: 42.30.Wb, 87.63.L-, 87.64.Cc, 87.85.Pq
Language: Russian


Citation: K. V. Larin, V. V. Tuchin, “Functional imaging and assessment of the glucose diffusion rate in epithelial tissues in optical coherence tomography”, Kvantovaya Elektronika, 38:6 (2008), 551–556 [Quantum Electron., 38:6 (2008), 551–556]
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  • https://www.mathnet.ru/eng/qe/v38/i6/p551
  • This publication is cited in the following 44 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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