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使用 Photoshop 和 Image J 对脑出血进行数字化定量。

Digitally quantifying cerebral hemorrhage using Photoshop and Image J.

机构信息

Department of Neurology, University of California, San Francisco & SF VAMC, San Francisco, CA 94121, USA.

出版信息

J Neurosci Methods. 2010 Jul 15;190(2):240-3. doi: 10.1016/j.jneumeth.2010.05.004. Epub 2010 May 7.

Abstract

A spectrophotometric hemoglobin assay is widely used to estimate the extent of brain hemorrhage by measuring the amount of hemoglobin in the brain. However, this method requires using the entire brain sample, leaving none for histology or other assays. Other widely used measures of gross brain hemorrhage are generally semi-quantitative and can miss subtle differences. Semi-quantitative brain hemorrhage scales may also be subject to bias. Here, we present a method to digitally quantify brain hemorrhage using Photoshop and Image J, and compared this method to the spectrophotometric hemoglobin assay. Male Sprague-Dawley rats received varying amounts of autologous blood injected into the cerebral hemispheres in order to generate different sized hematomas. 24h later, the brains were harvested, sectioned, photographed then prepared for the hemoglobin assay. From the brain section photographs, pixels containing hemorrhage were identified by Photoshop and the optical intensity was measured by Image J. Identification of hemorrhage size using optical intensities strongly correlated to the hemoglobin assay (R=0.94). We conclude that our method can accurately quantify the extent of hemorrhage. An advantage of this technique is that brain tissue can be used for additional studies.

摘要

分光光度法血红蛋白测定广泛用于通过测量脑内血红蛋白的量来估计脑出血的程度。然而,这种方法需要使用整个脑组织样本,没有剩余的组织用于组织学或其他检测。其他广泛使用的大体脑出血测量方法通常是半定量的,可能会错过细微的差异。半定量脑出血量表也可能存在偏差。在这里,我们提出了一种使用 Photoshop 和 Image J 对脑出血进行数字量化的方法,并将该方法与分光光度法血红蛋白测定进行了比较。雄性 Sprague-Dawley 大鼠接受不同量的自体血注入大脑半球,以产生不同大小的血肿。24 小时后,取出大脑,切片,拍照,然后准备进行血红蛋白测定。从脑组织切片照片中,Photoshop 识别出含有出血的像素,并用 Image J 测量其光强度。使用光强度识别出血大小与血红蛋白测定高度相关(R=0.94)。我们得出结论,我们的方法可以准确地量化出血的程度。该技术的一个优点是可以使用脑组织进行其他研究。

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