24 May 2018 Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks
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Abstract
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.
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O. E. Sarmanova, O. E. Sarmanova, S. A. Burikov, S. A. Burikov, S. A. Dolenko, S. A. Dolenko, A. O. Efitorov, A. O. Efitorov, I. V. Isaev, I. V. Isaev, K. A. Laptinskiy, K. A. Laptinskiy, N. Prabhakar, N. Prabhakar, D. Şen Karaman, D. Şen Karaman, J. M. Rosenholm, J. M. Rosenholm, T. A. Dolenko, T. A. Dolenko, } "Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks", Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 1067904 (24 May 2018); doi: 10.1117/12.2306474; https://doi.org/10.1117/12.2306474
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