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

OE Sarmanova; SA Burikov; SA Dolenko; AO Efitorov; IV Isaev; KA Laptinskiy; Neeraj Prabhakar; Didem Sen Karaman; Jessica Rosenholm; TA Dolenko

doi:10.1117/12.2306474

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

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

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	Undefined/Unknown
Title of host publication	Optics, Photonics, and Digital Technologies for Imaging Applications V
Publisher	SPIE, The International Society for Optical Engineering
Pages	–
Number of pages	14
DOIs	https://doi.org/10.1117/12.2306474
Publication status	Published - 2018
MoE publication type	A4 Article in a conference publication
Event	SPIE Photonics Europe - SPIE Photonics Europe Duration: 22 Apr 2018 → 26 Apr 2018

Conference

Conference	SPIE Photonics Europe
Period	22/04/18 → 26/04/18

Keywords

Artificial neural networks
carbon nanocomposite
drug carrier
fluorescent spectroscopy
inverse problems

Access to Document

10.1117/12.2306474

Cite this

Sarmanova, OE., Burikov, SA., Dolenko, SA., Efitorov, AO., Isaev, IV., Laptinskiy, KA., Prabhakar, N., Sen Karaman, D., Rosenholm, J., & Dolenko, TA. (2018). Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks. In Optics, Photonics, and Digital Technologies for Imaging Applications V (pp. –). SPIE, The International Society for Optical Engineering. https://doi.org/10.1117/12.2306474

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title = "Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks",

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.",

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

author = "OE Sarmanova and SA Burikov and SA Dolenko and AO Efitorov and IV Isaev and KA Laptinskiy and Neeraj Prabhakar and {Sen Karaman}, Didem and Jessica Rosenholm and TA Dolenko",

year = "2018",

doi = "10.1117/12.2306474",

language = "Odefinierat/ok{\"a}nt",

pages = "–",

booktitle = "Optics, Photonics, and Digital Technologies for Imaging Applications V",

publisher = "SPIE, The International Society for Optical Engineering",

note = "SPIE Photonics Europe ; Conference date: 22-04-2018 Through 26-04-2018",

}

Sarmanova, OE, Burikov, SA, Dolenko, SA, Efitorov, AO, Isaev, IV, Laptinskiy, KA, Prabhakar, N, Sen Karaman, D, Rosenholm, J & Dolenko, TA 2018, Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks. in Optics, Photonics, and Digital Technologies for Imaging Applications V. SPIE, The International Society for Optical Engineering, pp. –, SPIE Photonics Europe, 22/04/18. https://doi.org/10.1117/12.2306474

Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks. / Sarmanova, OE; Burikov, SA; Dolenko, SA et al.
Optics, Photonics, and Digital Technologies for Imaging Applications V. SPIE, The International Society for Optical Engineering, 2018. p. –.

Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Monitoring of the excretion of fluorescent nanocomposites out of the body using artificial neural networks

AU - Sarmanova, OE

AU - Burikov, SA

AU - Dolenko, SA

AU - Efitorov, AO

AU - Isaev, IV

AU - Laptinskiy, KA

AU - Prabhakar, Neeraj

AU - Sen Karaman, Didem

AU - Rosenholm, Jessica

AU - Dolenko, TA

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Artificial neural networks

KW - carbon nanocomposite

KW - drug carrier

KW - fluorescent spectroscopy

KW - inverse problems

KW - Artificial neural networks

KW - carbon nanocomposite

KW - drug carrier

KW - fluorescent spectroscopy

KW - inverse problems

KW - Artificial neural networks

KW - carbon nanocomposite

KW - drug carrier

KW - fluorescent spectroscopy

KW - inverse problems

U2 - 10.1117/12.2306474

DO - 10.1117/12.2306474

M3 - Konferensbidrag

SP - –

BT - Optics, Photonics, and Digital Technologies for Imaging Applications V

PB - SPIE, The International Society for Optical Engineering

T2 - SPIE Photonics Europe

Y2 - 22 April 2018 through 26 April 2018

ER -