Supplementary Figure 5: Parameter sensitivity analysis
From: Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data
Parameter sensitivity analysis for the two tunable parameters of the processing pipeline, the image background intensity threshold and the PBC threshold τ for watershed agglomeration, with respect to Euclidean distance error metric (a,d), nearest neighbor (NN) normalized Euclidean distance error metric (b,e) and linkage error metric (c,f). Please see Supplementary Note 3 for details on these metrics.
Panels (a-c) show results for the Drosophila SiMViev dataset. In this scenario, the image background intensity threshold has a larger impact on accuracy than τ, owing to the high signal-to-noise ratio (SNR) of the data set. However, sensitivity with respect to this threshold is low enough to ensure close-to-optimal results for a wide range of parameters values.
Panels (d-f) show results for the zebrafish confocal dataset. In this scenario, τ has a larger impact on accuracy due to the lower SNR. While the ranges of close-to optimal values for image background intensity are quite different in (a-c) and (d-f), the range of close-to-optimal values for τ is almost identical. This observation is true for all datasets investigated in this study. Thus, for new datasets, we generally recommend using τ values between 5 and 15.
