Increase in the Pearson correlation coefficient between filtered a single time frame and the aligned kymograph time average.

The table shows the improvement, , in the Pearson correlation coefficient, (see Eq (2)), between each single time frame barcode and its aligned kymograph time average after filtering the single frame. Correlation coefficients were averaged over all 6400 time-frame barcodes (see Fig 3) for each type of filter used (Gaussian, Moving Average and Windowed-Sinc filter). The improvement is defined as , where is the correlation coefficient between the filtered single time-frame (fst) barcode and the time averaged (ta) barcode, and is the correlation coefficient between the unfiltered (noisy) single time frame barcode and the kymograph time average. We see that all filters lead to a similar average improvement in the correlation, roughly 0.2 points. Results for by type of plasmid (pUUH, pEC005A, pEC005B) are found in S1 Table in Supplementary Information.