Unnerstall J R, Whitehouse P J
The Alzheimer Center, University Hospitals of Cleveland, OH 44106.
Neurobiol Aging. 1987 Nov-Dec;8(6):567-9. doi: 10.1016/0197-4580(87)90138-2.
The excellent review by Coleman and Flood on neuropathological changes in normal aging and Alzheimer's disease highlights the need for development and application of computer-assisted image analysis to the study of neurons in these conditions. The morphological and neurochemical changes in normal and pathological aging require quantitation and statistical analysis that can be best performed with the assistance of the image and data processing capabilities of the computer. Advanced image processing systems are being developed to identify and classify neurons according to several intelligently chosen visual features, apply discriminant analysis and population statistics to this data, and correlate this information to other neurochemical measurements as well as the clinical history of the patient. Techniques such as immunocytochemistry, receptor autoradiography and in situ hybridization produce information-rich images of the distribution of proteins and nucleic acids in tissue slices that can be analyzed by this approach.
科尔曼和弗拉德关于正常衰老和阿尔茨海默病神经病理学变化的精彩综述强调了开发和应用计算机辅助图像分析来研究这些情况下神经元的必要性。正常和病理性衰老中的形态学和神经化学变化需要进行定量和统计分析，而借助计算机的图像和数据处理能力能最好地完成这些分析。先进的图像处理系统正在开发中，以便根据几个精心选择的视觉特征对神经元进行识别和分类，对这些数据应用判别分析和总体统计，并将这些信息与其他神经化学测量结果以及患者的临床病史相关联。免疫细胞化学、受体放射自显影和原位杂交等技术可产生组织切片中蛋白质和核酸分布的信息丰富的图像，这些图像可用这种方法进行分析。
