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

    Tutkimustuotos: LehtiartikkeliArtikkeliTieteellinenvertaisarvioitu

    13 Sitaatiot (Scopus)

    Abstrakti

    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.
    AlkuperäiskieliEi tiedossa
    Sivut
    JulkaisuJournal of Biomedical Optics
    Vuosikerta19
    Numero11
    DOI - pysyväislinkit
    TilaJulkaistu - 2014
    OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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