Optical imaging of fluorescent carbon biomarkers using artificial neural networks

A1 Journal article (refereed)

Internal Authors/Editors

Publication Details

List of Authors: Tatiana A. Dolenko, Sergey A. Burikov, Alexey M. Vervald, Igor I. Vlasov, Sergey A. Dolenko, Kirill A. Laptinskiy, Jessica M. Rosenholm, Olga A. Shenderova
Publisher: International Society for Optics and Photonics
Publication year: 2014
Journal: Journal of Biomedical Optics
Volume number: 19
Issue number: 11


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.

Last updated on 2019-17-10 at 04:30

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