Figure 2.

Computational model of fibroblast migration guided by environmental cues. (A) We computed resultant displacement probability vectors (${\stackrel{\rightharpoonup }{d}}_r$) as weighted sums of displacement probability vectors representing individual cues: a bidirectional cue (${\stackrel{\rightharpoonup }{d}}_b$), due to mechanical or structural anisotropy, oriented along the axis of mechanical restraint; and a unidirectional invasion cue (${\stackrel{\rightharpoonup }{d}}_u$) oriented toward the center of the wound. (B) Then we calculated the associated resultant displacement orientation distribution (${\phi }_r$) for long-axis restraint (L) and short axis restraint (S). (C) Finally, we simulated migration tracks by randomly sampling the distribution to determine the orientation of each incremental cell displacement. We generated apparent migration tracks (L_app and S_app) for comparison to our experimental data by saving the positions of the simulated cells after every hour of simulated time.