Paper
21 April 2016 Determination of type and concentration of DNA nitrogenous bases by Raman spectroscopy using artificial neural networks
Author Affiliations +
Abstract
In this article the results of solution of two-parametrical inverse problems of laser Raman spectroscopy of identification and determination of concentration of DNA nitrogenous bases in two-component solutions are presented. Elaboration of methods of control of reactions with DNA strands in remote real-time mode is necessary for solution of one of the basic problems of creation of biocomputers – increase of reliability of molecular DNA-computations. The comparative analysis of two used methods of solution of stated problems has demonstrated convincing advantages of technique of artificial neural networks. Use of artificial neural networks allowed to reach the accuracy of determination of concentration of each base in two-component solutions 0.2-0.3 g/l.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kirill A. Laptinskiy, Sergey A. Burikov, Olga E. Sarmanova, Sergey A. Dolenko, and Tatiana A. Dolenko "Determination of type and concentration of DNA nitrogenous bases by Raman spectroscopy using artificial neural networks", Proc. SPIE 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS), 991717 (21 April 2016); https://doi.org/10.1117/12.2228470
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Raman spectroscopy

Artificial neural networks

Inverse problems

Calibration

Molecules

Neurons

Laser spectroscopy

Back to Top