Fig. 5: Monitoring prediction variability with the TA-GANLive.
a, Live-cell imaging of dendritic F-actin using the same stimulation as in Fig. 4. The TA-GANLive variability maps are shown on the bottom row. The series was chosen as a representative example from a total of 87 series. Colour bars: raw photon counts. b, Example histograms of the pixel-level positive counts over the segmentation of ten synthetic images (top) and high- and low-variability pooling. On the left, the VS is below 0.5 (dashed line, no trigger); on the right, the VS is above 0.5 (STED triggered). c, The VS at each time point for the sequence shown in a. When the VS is above 0.5, the number of high-variability pixels exceeds the number of low-variability pixels (b, VS > 0.5, right), which triggers the acquisition of a real STED image (orange circles). d, The DC is computed between the segmentation masks of synthetic and real STED image from the same time point (n = 168 pairs of real and synthetic images). When an STED acquisition would have been triggered using the VS criterion, the DC between the two corresponding images is lower. Violin plots show the minimum, maximum and mean. Statistical analysis: two-sided Mann–Whitney U test for the null hypothesis that the two distributions are the same (*P = 0.014). Scale bars, 1 μm.
