The application of multivariate statistical methods to the identification of phytoplankton from flow cytometric data: a EurOPA subproject

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 phyto...

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Bibliographic Details
Main Authors: Carr, M.R., Tarran, G.A., Burkill, P.H.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical measurements
Biomedical optical imaging
Fluorescence
Light scattering
Microscopy
Optical scattering
Particle scattering
Scattering parameters
Sea measurements
Statistical analysis
Online Access:Request full text
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Summary: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.< >
DOI:10.1109/OCEANS.1994.363824