Department of Neurosurgery, Shinshu University School of Medicine Laboratory Medicine, Shinshu Ueda Medical Center, Ueda, Japan.
Neuropathology. 2012 Jun;32(3):245-51. doi: 10.1111/j.1440-1789.2011.01265.x. Epub 2011 Nov 21.
A microvascular density (MVD) counting method for reversion-inducing cysteine-rich protein with Kazal motifs (RECK) expression, using a digital image analysis tool, has advantages over manual counting by microscope. Thirty glioma cases with RECK staining were photographed at a magnification of 200× high power field and the photographs in RGB images were analyzed, and stained vessels were captured and were counted automatically. MVD with RECK expression using a digital image analysis tool showed comparable results to those of the manual method. RECK intensity expression could show linear correlation with grades of glioma by the digital method, which was superior compared to the manual method. The present method is recommended to researchers undertaking MVD study for glioma.
一种基于数字图像分析工具的微脉管密度（MVD）计数方法，用于逆转诱导富含半胱氨酸的 Kazal 基序蛋白（RECK）的表达，优于显微镜下的手动计数。对 30 例有 RECK 染色的胶质瘤病例进行了 200×高倍视野的拍照，并对 RGB 图像进行了分析，自动捕获和计数染色血管。使用数字图像分析工具的 RECK 表达的 MVD 显示出与手动方法相当的结果。数字方法显示 RECK 强度表达与胶质瘤的分级呈线性相关，优于手动方法。本方法推荐给从事胶质瘤 MVD 研究的研究人员。
