Use of neural network algorithms for elaboration of fluorescent biosensors on the base of nanoparticles

Authors:
S. A. Burikov;A. M. Vervald;I. I. Vlasov;S. A. Dolenko;K. A. Laptinskiy;T. A. Dolenko
Affiliations:
Physics Department, M.V. Lomonosov Moscow State University, Moscow, Russia;Physics Department, M.V. Lomonosov Moscow State University, Moscow, Russia;A.M. Prokhorov General Physics Institute, RAS, Moscow, Russia;D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia;Physics Department, M.V. Lomonosov Moscow State University, Moscow, Russia;Physics Department, M.V. Lomonosov Moscow State University, Moscow, Russia
Venue:
Optical Memory and Neural Networks
Year:
2013

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Abstract

In this paper, the results of application of artificial neural networks for extraction of fluorescence contribution of nanoparticles used in biomedicine as biomarkers and drug carriers against the fluorescence background of inherent fluorophores of biological objects are presented. Principle possibility of solving this problem is shown. The used architectures of ANN allow detecting fluorescence of carbon dots against the background of proper fluorescence of egg protein with reasonably high accuracy-not worse than 0.002 mg/mL.