Title :
The application of multivariate statistical methods to the identification of phytoplankton from flow cytometric data: a EurOPA subproject
Author :
Carr, M.R. ; Tarran, G.A. ; Burkill, P.H.
Author_Institution :
Plymouth Marine Lab., UK
Abstract :
Flow cytometric data have been used to provide a rapid and effective method of monitoring phytoplankton populations. As part of the software component of the EurOPA (European Optical Plankton Analyser) project, multivariate statistical methods have been used to improve the speed and quality of phytoplankton analysis
Keywords :
aquaculture; biological techniques; geophysical signal processing; oceanographic techniques; pattern recognition; EurOPA; European Optical Plankton Analyser; computer pattern recognition; flow cytometry; fluorescence; identification; light scatter; marine biology; measurement technique; monitoring; multivariate statistical method; ocean; optical method; phytoplankton; plankton; sea; signal processing; software; Biomedical measurements; Biomedical optical imaging; Fluorescence; Light scattering; Microscopy; Optical scattering; Particle scattering; Scattering parameters; Sea measurements; Statistical analysis;
Conference_Titel :
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location :
Brest
Print_ISBN :
0-7803-2056-5
DOI :
10.1109/OCEANS.1994.363824
