![]() ![]() The cell counts from the Summary Window (i.e., counts) were exported into Windows Excel for statistical analysis. “Summary” and “Exclude on Edges” were checked for “Show Masks” was selected to display a drawing of Particle size were 1 pixels2, respectively. Number of nuclei contained in the ROI was quantified using the menu command Analyze–>Īnalyze particles. The ROI was centered over the Detection Zone within each well. In the Specify window, “width” and “height” were set at 2mm, and the “oval” box Using the menu command Edit–> Selection–> Specify. Measuring 2mm in diameter (the same diameter as the tip of the stopper) was made Using the binary image, a circular region-of-interest (ROI) Overlapping nuclei were separated by performing a Watershed segmentation Window, the thresholded image was converted to a binary image. Threshold was set for each grayscale image ( Image–>Īdjust–> Threshold). ![]() Images were acquired using a 5X objective onĪ Zeiss Axiovert 200 inverted microscope equipped with a CCD camera.Ĭell migration into the Detection Zone was measured byĬounting cell number using ImageJ analysis software (version 1.42l). Afterġ6 hours, cells were fixed with 0.25% glutaraldehyde and cell nuclei were Tissue Culture Treated, Collagen I coated, or Fibronectin coated wells. MDA-MB-231 breast epithelial cells and HT-1080 fibrosarcomaĬells were cultured on an Oris™ Cell Migration Assay – TriCoated plate having Digital Image Processing and Analysis, pp 93–96. Rosin, Efficient Circular Thresholding, IEEE Trans. Katsaggelos, Framework for efficient optimal multilevel image thresholding, Journal of Electronic Imaging, vol. In Digital Image Processing, pp. 595–611. Mehmet Sezgin and Bulent Sankur, Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging 13(1), 146–165 (January 2004).Quantitative image analysis of immunohistochemical stains using a CMYK color model. "Quantitative image analysis of immunohistochemical stains using a CMYK color model". ![]()
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