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Automatic segmentation and quantification of fluorescing microspheres adhering to capillary endothelial cells in the rat lung

机译:粘附在大鼠肺中毛细管内皮细胞的荧光微球的自动分割和定量

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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.
机译:存在于内皮细胞膜中存在的粘附分子为白细胞粘附的位点作为白细胞迁移过程中的第一步。新的证据表明,通过提供肿瘤细胞附着的位置,相同的粘合蛋白可以负责转移性肿瘤的涂抹。试图使用最近开发的动物模型来定量肺毛细血管内皮中粘附分子表达程度的方法,其允许在体内观察肺表面。采用这种新的肺室技术收集肺血管系统的视频显像。还开发了一种全自动的数字图像处理和分析(DIPA)系统以估计这些视频中毛细管内皮细胞上的细胞间粘附分子-1(ICAM-1)表达的水平。荧光微球在内皮细胞表面上的ICAM-1分子免疫结合。然后DIPA系统定位并量化了视频中存在的荧光点。将该系统定位和测量荧光的能力与相同图像的人测量进行了比较。

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