In vitro and in silico correlations (2D).

(A) Serial Images of tumor cell and virus spread were captured and converted into digital images (B). Voronoi tessellation (C) and data from the average area of a cell were used to quantitate the populations as a function of time. (D) Fitting of the data to the mean field equations results in a heat map of the goodness of fit–the best result is shown as a black circle. (E) In silico simulations (filled circles) using the best parameter estimates from (D) and the initial conditions capture accurately the actual population dynamics (empty circles). Red represents tumor cells, green represents the infected cell population while black represents the empty space.