ERROR CORRECTION IN EXCITATION-EMISSION MATRICES USING THE PRINCIPAL COMPONENT ANALYSIS
N. A. Maslov
Khristianovich Institute of Theoretical and Applied Mechanics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Keywords: laser-induced fluorescence, excitation-emission matrix, principal component analysis
Abstract
Fluorescence spectroscopy, which employs excitation wavelength scanning, is a powerful tool for chemical, biological, and medical diagnostics. It allows one to characterize the distribution of fluorophores in samples of various nature. However, when the fluorophores are initially unknown, interpreting large sets of excitation wavelength-dependent fluorescence spectra can be challenging, especially when there are data losses in the measured excitation-emission matrices due to random causes or systematic factors. In this paper, we propose to restore the damaged areas of the spectrum using the principal component analysis. This can be achieved without data loss because individual fluorophores’ fluorescence spectra are independent of the excitation radiation wavelength.
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