Figure 1.

Correlation analyses between parameters. (A) A linear correlation and linear regression. X and Y are two parameters of a dataset. Plotting the values of Y against X shows a correlation between the parameters, and the extent of that correlation can be calculated by regression analysis. (B) The relationship between the mean square displacement (MSD) and the time lag for various modes of motion (see text for details). (C) The same plot as shown in (B), except using logarithmic values. The three lines correspond to the different modes of motion in (B). For Brownian motion, the slope of the log–log plot is one. For directional motion and sub-diffusion, the log–log plots yield a linear relationship with a slope greater than one and less than one, respectively.