Abstract:

BACKGROUND: The traditional method of screening the flow chamber experimental data is to pick up each objective cell manually, which is cumbersome, time-consuming and subjective.
OBJECTIVE: To develop an efficient data screening method based on correlation coefficient analysis, which is applied to screen the cell rolling adhesion data from flow chamber experiments.
METHODS: E-selectin/ligand-mediated HL-60 cells rolling was chosen to be a model and correlation coefficient analysis was used to screen the stable rolling cells from parallel-plate flow chamber experiments. Then the instantaneous velocities and displacements of stable rolling cells were measured by software to calculate the average rolling velocities of these cells, which are compared with the data screened by the traditional manual method.
RESULTS AND CONCLUSION: The rolling velocities of stable rolling cells screened by correlation coefficient method were consistent with those screened by the traditional manual method. When shear stress was in the range of 0.01-0.07 Pa, the relationship between the average velocities of stable rolling cells and the shear stress displayed a two-stage curve, in which the average velocities first decreased and then increased with the monotonically increasing of shear stress. Therefore, the comparisons showed the biophysical phenomenon observed in experiments and indicated that the correlation coefficient method was feasible to screen the stable rolling cells of parallel plate flow chamber experiments. Correlation coefficient screen method can be applied to parallel flow chamber experimental data and take the place of the traditional manual screen method.