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A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks |
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| Authors: | Olga E. Sarmanova Sergey A. Burikov Sergey A. Dolenko Igor V. Isaev Kirill A. Laptinskiy Neeraj Prabhakar Didem Şen Karaman Jessica M. Rosenholm Olga A. Shenderova Tatiana A. Dolenko |
| Affiliation: | 1. Lomonosov Moscow State University, Physical Department, Moscow, Russia;2. Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow, Russia;3. Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland;4. Adámas Nanotechnologies, Inc., Raleigh, North Carolina, United States |
| Abstract: | 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. |
| Keywords: | Carbon nanocomposite Fluorescent imaging probe Fluorescent spectroscopy Artificial neural networks ANN artificial neural network Cop copolymer DLS dynamic light scattering FA folic acid FRα alpha receptors for folic acid MLP multilayer perceptron MTX methotrexate nGO nano-graphene oxide PEG polyethylene glycol PEI polyethyleneimine TEM transmission electron microscopy |
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