Methods of artificial intelligence in optical spectroscopy

Laboratory of Laser Spectroscopy of Nanosystems in Liquid Media

Methods of artificial intelligence
in optical spectroscopy
For precision analysis of vibrational spectra of studied solutions and to solve multi-parametrical inverse problems of vibrational spectroscopy we use artificial neural networks and genetic algorithms. Use of such powerful modern tools of solution of inverse problems and problems of optimization provides successful solution of a wide range of applied problems of diagnostics and analysis of water media.

Selected publications:

O.E. Sarmanova, S.A. Burikov, S.A. Dolenko, I.V. Isaev, K.A. Laptinskiy, P. Neeraj, S. Karaman Didem, J.M. Rosenholm, O.A. Shenderova, and T.A. Dolenko. A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks. Nanomedicine: Nanotechnology, Biology, and Medicine, 14(4):1371–1380, 2018.

T.A. Dolenko, S.A. Burikov, E.N. Vervald, A.O. Efitorov, K.A. Laptinskiy, O.E. Sarmanova, and S.A. Dolenko. Improvement of reliability of molecular DNA computing: solution of inverse problem of Raman spectroscopy using artificial neural networks. Laser Physics, 27(2):025203–1–025203–8, 2017.

K. Laptinskiy, S. Burikov, S. Dolenko, A. Efitorov, O. Sarmanova, O. Shenderova, I. Vlasov, and T. Dolenko. Monitoring of nanodiamonds in human urine using artificial neural networks. Physica Status Solidi (A) Applications and Materials, 213(10):2614–2622, 2016.

T.A. Dolenko, S.A. Burikov, A.M. Vervald, I.I. Vlasov, S.A. Dolenko, K.A. Laptinskiy, J.M. Rosenholm, O.A. Shenderova. Optical imaging of fluorescent carbon biomarkers using artificial neural networks. J. Biomed. Opt.; v. 19, Issue 11, pp. 117007 1-9.

S.A. Dolenko, S.A. Burikov, T.A. Dolenko, I.G. Persiantsev. Adaptive Methods for Solving Inverse Problems in Laser Raman Spectroscopy of Multi-Component Solutions. Pattern Recognition and Image Analysis, 2012, v.22, N4, pp.551-558.