Extended Data Fig. 10: Updating the baseline and noise after initialization increased the accuracy of SUNS online at the cost of lower speed.
From: Segmentation of neurons from fluorescence calcium recordings beyond real time
We compared the F1 score and speed of SUNS online with or without baseline and noise update for the (a) ABO 275 μm, (b) Neurofinder, and (c) CaImAn datasets. The F1 scores with baseline and noise update were generally higher, but the speeds were slower (*P < 0.05, **P < 0.005, ***P < 0.001, n.s. - not significant; two-sided Wilcoxon signed-rank test; error bars are s.d.). The light color dots represent F1 scores and speeds for the test data for each round of cross-validation. The improvement in the F1 score was larger as the baseline fluctuation becomes more significant. d, Example processing time per frame of SUNS online with baseline and noise update on Neurofinder video 02.00. The lower inset zooms in on the data from the red box. The upper inset is the distribution of processing time per frame. The processing time per frame was consistently faster than the microscope recording rate (125 ms/frame). The first few frames after initialization were faster than the following frames, because the baseline and noise update was not performed in these frames.
