
View larger version (69K):
[in this window]
[in a new window]
|
Fig. 1. (A) Analysis of a computer-simulated image time series of a flowing particle population (20% of the total particle density, vx=-0.1 µm/second, vy=0 µm/second) superimposed over an immobile particle population (80% of the total particle density). The average spatial correlation function for a lag time t=3 seconds is calculated from the original intensities [raa( , ,3), left] and from the immobile filtered intensities [r'aa( , ,3), right]; note the small flow component correlation peak that appears on the left side of the central correlation function without immobile filtering, this flow component peak is all that is seen in the function after immobile filtering. Contour plots of STICS correlation functions raa( , , t) as a function of lag time for the simulation above without (B) and with (C) immobile population filtering. Contour plots for a simulation of particles undergoing pure diffusion at 0.01 µm2/second (D). Bar, 2 µm.
|