Fig. 2

Validation of the Immunology Database and Analysis Portal flow cytometry clustering without K (ImmPort-FLOCK). Cell subset percentages by automated identification were validated against manual gating for the identification of immune cell populations on the basis of size and granularity (forward scatter and side scatter, respectively). One hundred random flow cytometry files were independently analyzed by two immunologists using standard FlowJo software. a Scatterplots between the two immunologists show significant concordance in the identification of different cell populations. b Similar correlation was seen for granulocyte and lymphocyte percentages between automated analysis and the average of the two immunologists (shaded area represents the 95 % confidence interval of the regression line; p values based on Pearson correlation test). c Originally published figure showing the drop in CD19+ B-cell counts with rituximab or control (cyclophosphamide) treatment generated using manual gating of flow cytometry results (Reproduced with permission from [2]. d Results obtained through automated identification of the CD19+ lymphocyte population. Results shown in (c) and (d) represent median cell counts. ANCA anti-neutrophil cytoplasmic antibodies, CD cluster of differentiation, MPO myeloperoxidase, PR3 proteinase 3