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- W2024279284 abstract "Abstract : The selectivity of fluorescence spectroscopy is exploited for the characterization of marine algae. Two-dimensional, digital images of in vivo fluorescence intensity versus excitation and emission wavelengths, called excitation-emission matrices (EEMs), are used as spectral fingerprints for marine phytoplankton populations. Fourier-transform-based pattern recognition is described along with its inherent strengths and weaknesses for the analysis of natural populations. The EEMs of unknown algae are compared to a library of standard EEMs representing 23 algal species and 6 classes with better than 80% accuracy. The EEMs acquired under different physiological conditions are used in determining pattern recognition reliability. The potential for fingerprinting mixed populations and oceanographic regions is also discussed. Originator supplied keywords include: Fluorescence analysis; Marine analysis; Fourier data analysis; Pattern recognition; Chlorophyll fluorescence; Spectral matching." @default.
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- W2024279284 title "Spectral fingerprinting of phytoplankton populations by two-dimensional fluorescence and Fourier-transform-based pattern recognition" @default.
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