Figure 7.

Evaluation of CINAC_v1 performance on Hippo-dvt dataset. A, Boxplots showing sensitivity for the three human experts (R.F.D., J.D., M.A.P.), CaImAn and CINAC_v1 evaluated against the visual ground truth of 25 cells. A total of 15 cells were annotated by J.D. and R.F.D., six by M.A.P. B, Boxplots showing precision for the three human experts (R.F.D., J.D., M.A.P.), CaImAn and CINAC_v1 evaluated against the visual ground truth of 25 cells. A total of 15 cells were annotated by J.D. and R.F.D., six by M.A.P. C, Boxplots showing F1 score for the three human experts (R.F.D., J.D., M.A.P.), CaImAn and CINAC_v1 evaluated against the visual ground truth of 25 cells. A total of 15 cells were annotated by J.D. and R.F.D., six by M.A.P. Each colored dot represents a cell, the number inside indicates the cell’s id and each color represents a session as identified in the legend. CINAC_v1 is a classifier trained on data from the Hippo-dvt dataset (Table 1; Extended Data Table 1-1). Figure 7 is supported by Extended Data Figures 7-1, 7-2. *p < 0.05.