Optical imaging of fluorescent carbon biomarkers using artificial neural networks

Tatiana A. Dolenko, Sergey A. Burikov, Alexey M. Vervald, Igor I. Vlasov, Sergey A. Dolenko, Kirill A. Laptinskiy, Jessica Rosenholm, Olga A. Shenderova

    Research output: Contribution to journalArticleScientificpeer-review

    13 Citations (Scopus)

    Abstract

    The principle possibility of extraction of fluorescence of nanoparticles in the presence of background autofluorescence of a biological environment using neural network algorithms is demonstrated. It is shown that the methods used allow detection of carbon nanoparticles fluorescence against the background of the autofluorescence of egg white with a sufficiently low concentration detection threshold (not more than 2 μg∕ml for carbon dots and 3 μg∕ml for nanodiamonds). It was also shown that the use of the input data compression can further improve the accuracy of solving the inverse problem by 1.5 times.
    Original languageUndefined/Unknown
    Pages (from-to)
    JournalJournal of Biomedical Optics
    Volume19
    Issue number11
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA1 Journal article-refereed

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