Quantification of renal pathology by image analysis
Quantification of renal pathology by image analysis
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DOI：
10.1111/j.1440-1797.2007.00855.x
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发表时间：
2007-12-01
期刊：
影响因子：
2.5
通讯作者：
Tesch, Greg H.
中科院分区：
文献类型：
--
作者：
Rangan, Gopala K.;Tesch, Greg H.
计算机图像分析技术的最新进展使肾脏病理损伤能够更准确地定量，这些病变是通过组织学染色或免疫组织化学识别的。本文详细描述了使用因特网上免费提供的Image J软件在光学显微镜的数字图像中对这些病变进行量化的基本技术。讨论的方法包括校准测量，对图像应用标度，评估对象的大小和厚度，细胞计数和点计数，以及分析染色面积。我们的解释表明，这些方法可以用来评估肾小球肥大、肾小管和血管损伤、炎症细胞和肌成纤维细胞的堆积、细胞外基质的沉积以及肾脏瘢痕的发展。
Recent advances in computer image analysis techniques allow more accurate quantification of kidney pathological lesions, which are identified by histological staining or immunohistochemistry. This article provides a detailed description of the basic techniques for quantifying these lesions in digital images of light microscopy using Image J software, which is freely available over the Internet. The methods discussed include calibrating measurements, applying scales to images, assessment of object size and thickness, cell counting and point counting, and analysis of area stained. Our explanations indicate how these methods can be used to evaluate glomerular hypertrophy, tubular and vascular injury, accumulation of inflammatory cells and myofibroblasts, deposition of extracellular matrix, and the development of renal scarring.