Computer-assisted analysis of the vascular endothelial cell motile response to injury.
We have developed an automated, user-friendly method to track vascular endothelial cell migration in vitro using an IBM PC/XT with MS DOS. Analog phase-contrast images of the bovine aortic endothelial cells are converted into digital images (8 bit, 250 x 240 pixel resolution) using a Tecmar Video VanGogh A/D board. Digitized images are stored at selected time points following mechanical injury in vitro. FORTRAN and assembly language subroutines have been implemented to automatically detect the wound edge and the edge of each cell nucleus in the phase-contrast, light-microscope field. Detection of the wound edge is accomplished by intensity thresholding following noise reduction in the image and subsequent sampling of the wound. After the range of wound intensities is determined, the entire image is sampled and a histogram of intensities is formed. The histogram peak corresponding to the wound intensities is subtracted, leaving a histogram peak that gives the range of intensities corresponding to the cell nuclei. Rates of cell migration, as well as cellular trajectories and cell surface areas, can be automatically quantitated and analyzed. This inexpensive, automated cell-tracking system should be widely applicable in a variety of cell biologic applications.
Askey
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DB
Department of Anatomy and Cell Biology, Tufts University Schools of Medicine, Boston, Massachusetts 02111.
Herman
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IM
D000818:Animals; D002465:Cell Movement; D004730:Endothelium, Vascular / Q000473:pathology / Q000502:physiology*; D007091:Image Processing, Computer-Assisted; D066298:In Vitro Techniques; D008838:Microcomputers; D014945:Wound Healing