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. 2016 Aug 18;7:12518. doi: 10.1038/ncomms12518

Figure 3. Microscopic characterization of particle dynamics.

Figure 3

(a) Probability distribution function (PDF) of the end-to-end length L of the jumps. Above LT=7.5 μm, the distribution is well fitted by an exponential function with characteristic length LJ=7.5 μm (solid red line). Inset: PDF of the duration Inline graphic of the jumps. The average is Inline graphic=1.7 s when considering only jumps of length LLT (solid red line). (b) Mean time interval between consecutive jumps, 〈ΔTJ〉, as a function of Nc. The red solid line is the hyperbolic fit used in the simulations, 〈ΔTJ〉=((68.2±8)/Nc)s (Nc in units of 106cells ml−1). Horizontal error bars are the standard deviations of cell concentrations. Inset: PDF of the time interval ΔTJ between consecutive jumps at Nc=(1.56±0.10) × 106 cells ml−1. Black solid line: exponential fit with characteristic time (31.9±4)s. Note that these distributions provide a biased measure of the mean waiting time 〈ΔTJ〉, which should be estimated instead from the average number of jump events as discussed in Supplementary Methods 4. (c) Effective diffusivities, DeffD0, from the Hele–Shaw experiment (blue circles) and from the simulations: red circles/solid red line for Inline graphic=1.7 s (slope 1.03 × αHS); red diamonds/dashed red line for Inline graphic=0.1 s (slope 1.22 × αHS). Vertical error bars represent the uncertainty on the fits to obtain the effective diffusivities. Horizontal error bars are the standard deviations of the cell concentrations. Inset: continuation of the simulated DeffD0 curves to very high cell concentrations shows saturation to a Inline graphic-dependent value.