Paper
24 May 1995 Automatic segmentation and quantification of fluorescing microspheres adhering to capillary endothelial cells in the rat lung
Thomas A. Albert, Victor H. Fingar, Scott W. Taber M.D., Thomas Jeffery Wieman M.D.
Author Affiliations +
Abstract
Adhesion molecules present in the cellular membrane of the endothelium provide sites of leukocyte adherence as a first step in the process of leukocyte migration into the interstitium. New evidence suggests the same adhesion proteins may be responsible for the spread of metastatic tumors by providing a location for tumor cell attachment. A method was sought to quantitate the degree of adhesion molecule expression in the pulmonary capillary endothelium using a recently developed animal model which allows for viewing the lung surface in vivo. Videoimages of the pulmonary vascular system were gathered using this new lung chamber technique. A fully automated digital image processing and analysis (DIPA) system was also developed to estimate the level of intercellular adhesion molecule-1 (ICAM-1) expression on the capillary endothelial cells in these videoimages. Fluorescent microspheres were immunologically bound to the ICAM-1 molecules present on the endothelial cell surface. The DIPA system then located and quantified the fluorescent spots present in the videoimages. The ability of this system to locate and measure the fluorescence was compared with human measurements of the same images.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas A. Albert, Victor H. Fingar, Scott W. Taber M.D., and Thomas Jeffery Wieman M.D. "Automatic segmentation and quantification of fluorescing microspheres adhering to capillary endothelial cells in the rat lung", Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); https://doi.org/10.1117/12.209719
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KEYWORDS
Image segmentation

Lung

Computing systems

Capillaries

Molecules

Tumors

Video

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