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

A4 Conference proceedings

Internal Authors/Editors

Publication Details

List of Authors: Sarmanova OE, Burikov SA, Dolenko SA, Efitorov AO, Isaev IV, Laptinskiy KA, Prabhakar N, Sen Karaman D, Rosenholm JM, Dolenko TA
Publication year: 2018
Journal: Proceedings of SPIE
Publisher: SPIE, The International Society for Optical Engineering
Book title: Optics, Photonics, and Digital Technologies for Imaging Applications V
Journal acronym: PROC SPIE
Volume number: 10679
Number of pages: 14
ISSN: 0277-786X


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.


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

Last updated on 2020-15-08 at 04:14