Fig. 1
From: Automation of flow cytometry data analysis with elastic image registration

ElastiGate application on three benchmarking datasets. (A) The distributions of F1 scores for each gate over 30 target fcs files in the lysed whole blood scatter dataset, comparing ElastiGate to gates drawn by three manual expert analysts (Manual 1–3). Lymphocytes, Granulocytes, and Monocytes gates on FSC-A versus SSC-A plot were provided from one training file. The heatmap bar represents number of cells in each gate as a Log10 scale. Values represent the mean and error bars represent standard error of the mean (SEM). (B) The number of cells in each population plotted against its ElastiGate F1 score from the lysed whole blood scatter dataset. (C) The distributions of F1 scores for each gate over 30 target fcs files in the multilevel fluorescence quantitation beads dataset. (D) The distributions of F1 scores for each gate over 20 fcs files in the monocyte subset analysis dataset. ElastiGate was used with one training file.