Analysis of Natural Phytoplankton Populations by Pattern Recognition of Two-Dimensional Fluorescence Spectra.

Abstract

Two-dimensional Fourier transform based pattern recognition is used to characterize natural populations of marine algae by their two-dimensional, in vivo fluorescence spectra. The two-dimensional fluorescence spectrum is called and excitation-emission matrix (EEM) and is acquired by a portable, multichannel fluorescence spectrophotometer (PMFS). Natural populations in the Gulf of Mexico south of Louisiana and the coastal area near Savannah, Georgia are characterized by their in-situ fluorescence. Characterization of unknown populations is achieved by comparing the unknown EEMs to a collection of standard EEMs acquired from 23 species (6 classes) of marine algae. Pattern recognition results from the data collected along the Georgia coast was confirmed by microscopic examination of selected samples. Keywords: fluorescence analysis; marine analysis; marine algae; Fourier spectroscopy.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 1987
Accession Number
ADA183404

Entities

People

  • Isiah M. Warner
  • P. B. Oldham

Organizations

  • Emory University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • California
  • Chemistry
  • Cyanobacteria
  • Data Analysis
  • Data Sets
  • Identification
  • Materials
  • Measurement
  • Military Research
  • Monitoring
  • Pattern Recognition
  • Procurement
  • Rayleigh Scattering
  • Recognition
  • Scattering
  • Spectra
  • Spectroscopy

Readers

  • Archaeological Resource Survey
  • Image Processing and Computer Vision.
  • Marine Ecotoxicology

Technology Areas

  • AI & ML