An automated high capacity data capture and analysis system for the in vitro assessment of leukocyte adhesion under shear-stress conditions

Abstract

Parallel-plate flow chambers have been used to model the vascular microcirculation and study the in vitro dynamic adhesive interactions of leukocytes and human umbilical vein endothelial cells (HUVECs). We describe here a high capacity system which can simultaneously monitor the adhesive interaction of neutrophils and HUVECs in ten flow chambers. Automated data collection was achieved with an image analyzer controlling the autostage and autofocus attachments of an inverted microscope. Images from the flow chambers were captured via phase-contrast microscopy using a video camera and laser videodisk recorder. The images were downloaded off-line into an image analyzer for automated counting of rolling and adherent cells. Neutrophils were detected by their ‘phase bright’ characteristics. An automated optimization procedure allowed the computer to choose the best setting for the selective detection of neutrophils. In addition, a method which utilized image averaging was used to distinguish between rolling and adherent cells. A comparison of the results obtained from the manual and automated counting methods revealed linear relationships for the counting of both adherent ( r = 0.98) and rolling cells ( r = 0.96) with counting efficiencies of 59% and 46%, respectively. The utility of the system was demonstrated by its ability to measure the adhesive interaction between neutrophils and HUVEC in response to stimulus such as interleukin-1α (IL-1α), histamine, or formyl-1-methionyl-1-leucyl-1-phenylalanine (fMLP). In conclusion, we have developed an automated assay which combines the capacity of ten flow chambers with a computerized data analysis system; the result is an efficient and reproducible assay which minimizes operator associated errors and biological variability.