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Tracking calcium dynamics from individual neurons in behaving animals

Fig 3

Testing EMC2 robustness with synthetic simulations.

For each simulated type of motion (confined diffusion (a), linear motion (b) and “Hydra-like” elastic deformation (c)), we simulated the stochastic firing of neuronal ensembles and corresponding fluorescence dynamics in synthetic time-lapse sequences (see Materials and Methods for details). We then compared the performances of EMC2 (blue) with TrackMate (no motion correction (red) or linear motion correction (magenta)). P-values are obtained with the Wilcoxon rank sum test over n = 10 simulations in each case. (d-e) Using “Hydra-like” synthetic deformation, we measured the accuracy of EMC2 for increasing proportion of stable (i.e. non-blinking) particles (neuronal cells) and increasing number of simulated particles. (f) After having estimated the deformation-field in three different animals (animal 1 (black), 4 (blue) and 6 (green)), we measured the accuracy of EMC2 for simulated sequences with increasing length (25, 50, 100 and 240 seconds. Imaging and simulations were performed at 10 Hz). For comparison purposes, the performance of TrackMate algorithm for 25 seconds (animal 1), extracted from (c), is shown.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1009432.g003