Figure 1.

Procedure for segmentation and classification of trajectories. (A) The rolling window analysis is conducted at a given time point s with the length of rolling window of 1.6 s (w = 1.6 s) and the sliding time step (Δs) of 0.1 s. (B) The transient behaviors of a trajectory are identified using the three classification parameters: scaling exponent of MSD curve (α), directional persistence (Δϕ), and confinement index (Λ). The MSD curve of each segment is fitted with the proper model to extract the dynamic parameters including V, D_Brn, D_micro, D_macro, L, and D_min. To see this figure in color, go online.