Individual variability analysis of fluorescence parameters measured in skin with different levels of nutritive blood flow

Andrey V. Dunaev (Lead / Corresponding author), Victor V. Dremin, Evgeny A. Zherebtsov, Ilya E. Rafailov, Karina S. Litvinova, Scott G. Palmer, Neil A. Stewart, Sergei G. Sokolovski, Edik U. Rafailov

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    55 Citations (Scopus)


    Fluorescence spectroscopy has recently become more common in clinical medicine. However, there are still many unresolved issues related to the methodology and implementation of instruments with this technology. In this study, we aimed to assess individual variability of fluorescence parameters of endogenous markers (NADH, FAD, etc.) measured by fluorescent spectroscopy (FS) in situ and to analyse the factors that lead to a significant scatter of results. Most studied fluorophores have an acceptable scatter of values (mostly up to 30%) for diagnostic purposes. Here we provide evidence that the level of blood volume in tissue impacts FS data with a significant inverse correlation. The distribution function of the fluorescence intensity and the fluorescent contrast coefficient values are a function of the normal distribution for most of the studied fluorophores and the redox ratio. The effects of various physiological (different content of skin melanin) and technical (characteristics of optical filters) factors on the measurement results were additionally studied.The data on the variability of the measurement results in FS should be considered when interpreting the diagnostic parameters, as well as when developing new algorithms for data processing and FS devices.

    Original languageEnglish
    Pages (from-to)574-583
    Number of pages10
    JournalMedical Engineering and Physics
    Issue number6
    Publication statusPublished - Jun 2015


    • Distribution function
    • Fluorescence spectroscopy
    • Fluorophores
    • Individual variability
    • Metrological support
    • Non-invasive diagnostics
    • Physiological scatter

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Biophysics


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