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Bivariate and trivariate analysis in flow cytometry: Phytoplankton size and fluorescence
Author(s) -
Li W. K. W.
Publication year - 1990
Publication title -
limnology and oceanography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 197
eISSN - 1939-5590
pISSN - 0024-3590
DOI - 10.4319/lo.1990.35.6.1356
Subject(s) - bivariate analysis , standard deviation , phytoplankton , statistics , correlation coefficient , mathematics , parameterized complexity , biology , biological system , ecology , combinatorics , nutrient
A curve‐fitting method was used to characterize bivariate and trivariate flow cytometric data (cell volume, chlorophyll a fluorescence, phycoerythrin fluorescence) from a mixture of cultured algae and from natural populations of phytoplankton. The frequency distribution of cells in two or three dimensions was approximated by a sum of n bivariate or trivariate log‐normal distributions, where n was the number of subpopulations in the assemblage. Each subpopulation was parameterized by the number of cells, the mean and standard deviation for each of the two or three variables, and a correlation coefficient for each pair of variables.