Cytofluorometry of lymphocytes is an important technique in experimental bi
ology and clinical medicine. One source of variability in the results with
this technique stems from the difficulty of delineating cell subpopulations
on a visual basis. We have evaluated the performance of a novel software m
ethod (Attractor), which introduces cluster analysis for the more precise d
efinition of cell populations. Using 115 blood samples from patients with v
arious immunological diseases, we compared the results obtained for 19 lymp
hocyte cell populations employing either the Attractor program or a convent
ional program (Cellquest). The analysis focused on inter-observer and inter
-method variability and comparability. Inter-observer variability was signi
ficantly lower with the Attractor software, particularly when quantifying s
mall cell populations such as activated subsets. The results obtained with
both methods showed high correlation coefficients except for some cell popu
lations that were either very small or which had to be calculated from the
sum of other counts. The performance of the novel flow cytometric software
is similar to software programs currently in use, but it offers an advantag
e for the definition of small and/or activated lymphocyte subpopulations. M
oreover, the consistency of the measurements is better. A major disadvantag
e for statistical analysis, however, is that the Attractor program has not
been adapted for non-parametric data. (C) 2000 Elsevier Science B.V. All ri
ghts reserved.