Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks

OE Sarmanova, SA Burikov, SA Dolenko, AO Efitorov, IV Isaev, KA Laptinskiy, Neeraj Prabhakar, Didem Sen Karaman, Jessica Rosenholm, TA Dolenko

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review


In this study we propose a new approach to monitoring of the removal of luminescent nanocomposites and their components with urine using artificial neural networks. A complex multiparametric problem of optical imaging of synthesized nanocomposites - nanometer graphene oxides, covered by the poly(ethylene imine)-poly(ethylene glycol) copolymer and by the folic acid in a biomaterial is solved. The proposed method is applicable for optical imaging of any fluorescent nanoparticles used as imaging nanoagents in biological tissue.
Original languageUndefined/Unknown
Title of host publicationOptics, Photonics, and Digital Technologies for Imaging Applications V
PublisherSPIE, The International Society for Optical Engineering
Number of pages14
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventSPIE Photonics Europe - SPIE Photonics Europe
Duration: 22 Apr 201826 Apr 2018


ConferenceSPIE Photonics Europe


  • Artificial neural networks
  • carbon nanocomposite
  • drug carrier
  • fluorescent spectroscopy
  • inverse problems

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