Spectral "fingerprinting" of phytoplankton populations by two-dimensional fluorescence and Fourier-transform-based pattern recognition

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ID: 299905
1985
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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.
Reference Key
openalex_W2024279284 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors P. B. Oldbam, Edward J. Zillioux, Isiah M. Warner
Journal journal of marine research
Year 1985
DOI
10.1357/002224085788453903
URL
https://doi.org/10.1357/002224085788453903
Keywords Keywords not found

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