Ramm P
Department of Psychology, Brock University, St. Catharines, Ontario, Canada.
Comput Med Imaging Graph. 1990 Sep-Oct;14(5):287-306. doi: 10.1016/0895-6111(90)90104-j.
Image analysis systems are becoming more sophosticated, less costly, and very common in research laboratories. Therefore, the bioscience researcher is faced with a bewildering array of choices in establishing an image analysis facility. Critical components and characteristics of commercial image analyzers are discussed. State-of-the-art systems feature a graphical user interface, a powerful operating system (e.g., Microsoft OS/2), 1000 line image acquisition, processing and display, true color imaging, and very flexible scanner interfaces. Such systems are best suited to technically difficult applications, such as ratio fluorescence, or to automated analysis of anatomical features, particularly in stained material. Less powerful image analyzers offer medium resolution, and typically work with monochrome data acquired from video cameras. Such systems are suitable for many bioscience applications, including quantitative autoradiography and routine morphometry.
图像分析系统正变得越来越精密复杂、成本更低，并且在研究实验室中非常普遍。因此，生物科学研究人员在建立图像分析设施时面临着一系列令人眼花缭乱的选择。本文讨论了商业图像分析仪的关键组件和特性。最先进的系统具有图形用户界面、强大的操作系统（如微软OS/2）、1000线图像采集、处理和显示、真彩色成像以及非常灵活的扫描仪接口。此类系统最适合技术难度较大的应用，如比率荧光分析，或用于解剖特征的自动分析，特别是在染色材料中。功能较弱的图像分析仪提供中等分辨率，通常处理从摄像机获取的单色数据。此类系统适用于许多生物科学应用，包括定量放射自显影和常规形态测量学。
