Abstrakti
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.
Alkuperäiskieli | Ei tiedossa |
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Otsikko | Optics, Photonics, and Digital Technologies for Imaging Applications V |
Kustantaja | SPIE, The International Society for Optical Engineering |
Sivut | – |
Sivumäärä | 14 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2018 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
Tapahtuma | SPIE Photonics Europe - SPIE Photonics Europe Kesto: 22 huhtik. 2018 → 26 huhtik. 2018 |
Konferenssi
Konferenssi | SPIE Photonics Europe |
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Ajanjakso | 22/04/18 → 26/04/18 |
Keywords
- Artificial neural networks
- carbon nanocomposite
- drug carrier
- fluorescent spectroscopy
- inverse problems