Extended Data Fig. 8: SUNS online outperformed CaImAn Online in accuracy and speed when processing a variety of datasets.
From: Segmentation of neurons from fluorescence calcium recordings beyond real time
a,e, Training on one ABO 275 μm video and testing on nine ABO 275 μm videos (each data point is the average over each set of nine test videos, n = 10); b, f, Training on ten ABO 275 μm videos and testing on ten ABO 175 μm videos (n = 10); c, g, Training on one Neurofinder video and testing on one paired Neurofinder video (n = 12); d, h, Training on three-quarters of one CaImAn video and testing on the remaining quarter of the same CaImAn video (n = 16). The F1 score and processing speed of SUNS online were significantly higher than the F1 score and speed of CaImAn Online (**P < 0.005, ***P < 0.001; two-sided Wilcoxon signed-rank test; error bars are s.d.). The gray dots in (a-d) represent individual scores for each round of cross-validation. The light color dots in (e-g) represent F1 scores and speeds for the test data for each round of cross-validation. The light color markers in (h) represent F1 scores and speeds for the test data for each round of cross-validation performed on different CaImAn videos. We updated the baseline and noise regularly after initialization for the Neurofinder dataset, but did not do so for other datasets.
