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Spectral 'Fingerprinting' of Phytoplankton Populations by Two-Dimensional Fluorescence and Fourier-Transform-Based Pattern Recognition.
Interim technical rept.,
EMORY UNIV ATLANTA GA DEPT OF CHEMISTRY
Pagination or Media Count:
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.
APPROVED FOR PUBLIC RELEASE