Spectral 'Fingerprinting' of Phytoplankton Populations by Two-Dimensional Fluorescence and Fourier-Transform-Based Pattern Recognition.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 08, 1985
- Accession Number
- ADA157237
Entities
People
- E. J. Zillioux
- I. M. Warner
- P. B. Oldham
Organizations
- Emory University