Dresden 2017 – scientific programme
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BP: Fachverband Biologische Physik
BP 19: Posters - Computational Biophysics
BP 19.7: Poster
Tuesday, March 21, 2017, 14:00–16:00, P1A
Classificatory Analysis of Biological Autofluorescence Spectra — •Ignas Ciplys1,2, Vilmantas Gegzna1,2, Darius Varanius1,2, Aurelija Vaitkuviene1, Gunoras Terbetas3, Ruta Kurtinaitiene4, Jurgita Usinskiene5, and Juozas Vilmantis Vaitkus1 — 1Institute of Applied Research, Vilnius University, Vilnius, Lithuania — 2Life Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania — 3Clinics of Neurology and Neurosurgery, Vilnius University, Vilnius, Lithuania — 4Hospital Santariskiu Klinikos, Vilnius University, Vilnius, Lithuania — 5National Cancer Institute, Vilnius University, Vilnius, Lithuania
This research deals with auto-fluorescence of biological specimens and its relations to medical diagnostics. The purpose of this study is to collect auto-fluorescence spectra from gynecological and intervertebral disc related specimens in various medical conditions and extract diagnostically relevant information through computational methods. The methods used include non-linear, univariate as well as multivariate statistical techniques focused on performance of classification and identification of the most informative spectral ranges. The main result: the fluorescence spectroscopy analysis might be recommended for medical practice, as well as at a point of care, and the efficiency of diagnostics expressed via balanced accuracy is up to 0,75-0,90. Further results and interpretation of analysis will be demonstrated during conference. The collected data base has to be increased to achieve more precise results.