Using the output from #8, calculate an average pairwise component distance for each frame of a video (use the variances in these averages as error bars). This way, for each cell, you should have a 1D time plot: the average pairwise distance (and y-error) at each frame. These could then be plotted together with other cells, particularly to compare control/LLO/mdivi conditions.
Using the output from #8, calculate an average pairwise component distance for each frame of a video (use the variances in these averages as error bars). This way, for each cell, you should have a 1D time plot: the average pairwise distance (and y-error) at each frame. These could then be plotted together with other cells, particularly to compare control/LLO/mdivi conditions.
For quick pairwise distance comparisons, check out http://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_distances.html#sklearn.metrics.pairwise.pairwise_distances with "euclidean" argument.