Research Papers: Sensing

Optical imaging of fluorescent carbon biomarkers using artificial neural networks

[+] Author Affiliations
Tatiana A. Dolenko

M. V. Lomonosov Moscow State University, Department of Physics, Leninskie Gory 1/2, Moscow 119991, Russia

Sergey A. Burikov

M. V. Lomonosov Moscow State University, Department of Physics, Leninskie Gory 1/2, Moscow 119991, Russia

Alexey M. Vervald

M. V. Lomonosov Moscow State University, Department of Physics, Leninskie Gory 1/2, Moscow 119991, Russia

Igor I. Vlasov

A. M. Prokhorov General Physics Institute, RAS, Vavilova Street 38, Moscow 119991, Russia

National Research Nuclear University MEPhI, Kashirskoe Avenue 31, Moscow 115409, Russia

Sergey A. Dolenko

M. V. Lomonosov Moscow State University, D. V. Skobeltsyn Institute of Nuclear Physics, Leninskie Gory 1/2, Moscow 119991, Russia

Kirill A. Laptinskiy

M. V. Lomonosov Moscow State University, Department of Physics, Leninskie Gory 1/2, Moscow 119991, Russia

Jessica M. Rosenholm

Abo Akademi University, Laboratory for Physical Chemistry, Porthansgatan 3, 20500 Turku, Finland

Olga A. Shenderova

Adámas Nanotechnologies, Inc., Raleigh, North Carolina 27617, United States

J. Biomed. Opt. 19(11), 117007 (Nov 14, 2014). doi:10.1117/1.JBO.19.11.117007
History: Received July 18, 2014; Revised October 4, 2014; Accepted October 15, 2014
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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 2μg/ml for carbon dots and 3μg/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.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Tatiana A. Dolenko ; Sergey A. Burikov ; Alexey M. Vervald ; Igor I. Vlasov ; Sergey A. Dolenko, et al.
"Optical imaging of fluorescent carbon biomarkers using artificial neural networks", J. Biomed. Opt. 19(11), 117007 (Nov 14, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.11.117007


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