Goldlust E J, Paczynski R P, He Y Y, Hsu C Y, Goldberg M P
Center for the Study of Nervous System Injury, Washington University School of Medicine, St Louis, MO 63110, USA.
Stroke. 1996 Sep;27(9):1657-62. doi: 10.1161/01.str.27.9.1657.
The extent of brain infarction after local cerebral ischemia is frequently assessed with the mitochondrial activity indicator 2,3,5-triphenyltetrazolium chloride (TTC). We describe an automated procedure for analysis of infarct size in TTC-stained rat brains.
Rats were subjected to middle cerebral artery occlusion and killed after 24 to 36 hours, and their brains were processed for TTC staining. Digital images of coronal sections from these brains (n > 50) were acquired with a desktop color scanner. The resulting images were divided into red, blue, and green component images. Total brain and infarct areas were automatically determined on the basis of total pixel intensity and area after segmentation of the red and green images, respectively. Automated measurements were compared with those made with a video camera-based image acquisition system that required manual tracing of lesion boundaries.
The spatial resolution of scanned brain images (approximately equal to 200 microns) was comparable to that of the camera-based system and provided sufficient detail to recognize infarct boundaries and neuroanatomical features. Scanner-based acquisition and analysis were faster than with the camera-based method. The green component image accurately distinguished infarcted from normal brain, and the red component image represented total brain dimensions. Infarct measurements obtained by the automated method correlated closely with those from conventional apparatus (R2 = .89, P < .001). Intraobserver reliability with the automated method (R2 = 1.00) was higher than with the conventional method (R2 = .77).
Infarct size after middle cerebral artery occlusion in the rat can be rapidly and reproducibly assessed with inexpensive scanning equipment and automated image analysis of TTC-stained brains.
局部脑缺血后脑梗死范围常采用线粒体活性指标2,3,5-氯化三苯基四氮唑(TTC)进行评估。我们描述了一种分析TTC染色大鼠脑梗死面积的自动化方法。
对大鼠进行大脑中动脉闭塞,24至36小时后处死,其脑进行TTC染色处理。用台式彩色扫描仪获取这些脑(n>50)冠状切片的数字图像。所得图像被分为红、蓝和绿成分图像。分别根据红、绿图像分割后的总像素强度和面积自动确定全脑和梗死面积。将自动化测量结果与基于视频摄像机的图像采集系统的测量结果进行比较,后者需要手动描绘病变边界。
扫描脑图像的空间分辨率(约等于200微米)与基于摄像机的系统相当,提供了足够的细节以识别梗死边界和神经解剖特征。基于扫描仪的采集和分析比基于摄像机的方法更快。绿色成分图像能准确区分梗死脑和正常脑,红色成分图像代表全脑尺寸。自动化方法获得的梗死测量结果与传统仪器的测量结果密切相关(R2 = 0.89,P < 0.001)。自动化方法的观察者内可靠性(R2 = 1.00)高于传统方法(R2 = 0.77)。
利用廉价的扫描设备和对TTC染色脑进行自动化图像分析,可快速且可重复地评估大鼠大脑中动脉闭塞后的梗死面积。