A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks

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

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)
26 Downloads (Pure)


In this study, a new approach to the implementation of optical imaging of fluorescent nanoparticles in a biological medium using artificial neural networks is proposed. The studies were carried out using new synthesized nanocomposites — nanometer graphene oxides, covered by the poly(ethylene imine)-poly(ethylene glycol) copolymer and by the folic acid. We present an example of a successful solution of the problem of monitoring the removal of nanocomposites based on nGO and their components with urine using fluorescent spectroscopy and artificial neural networks. However, the proposed method is applicable for optical imaging of any fluorescent nanoparticles used as theranostic agents in biological tissue.

Original languageUndefined/Unknown
Pages (from-to)1371–1380
JournalNanomedicine: Nanotechnology, Biology and Medicine
Issue number4
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed


  • Artificial neural networks
  • fluorescent imaging probes
  • bioimaging

Cite this