Russack V
Department of Pathology, University of California San Diego Medical Center 92103-8720.
Crit Rev Clin Lab Sci. 1994;31(1):1-34. doi: 10.3109/10408369409084672.
Image cytometry has numerous clinical and research applications and is particularly useful in anatomic pathology for the study of malignant lesions. Modern image systems encompass morphometry, densitometry, neural networks, and expert systems. Rapid advances in technology and the development of user-friendly systems have provided pathologists with an alternative to flow cytometry, particularly useful in the evaluation of small or hypocellular specimens. The most common current application of image cytometry is for DNA analysis, followed by quantitation of immunohistochemical staining. Newer uses under active investigation include development of expert systems that may act as diagnostic consultants in the future. Beyond DNA analysis, image cytometry holds great promise for improved tumor classification, for screening and surveillance in high-risk populations, and as a tool to improve diagnostic ability. This article discusses types of image analysis systems, specimen preparation, data acquisition, current applications in specific organ sites, and possible future applications.
图像细胞术有众多临床和研究应用，在解剖病理学中对恶性病变的研究尤为有用。现代图像系统包括形态测量学、密度测定法、神经网络和专家系统。技术的快速进步和用户友好型系统的开发为病理学家提供了一种替代流式细胞术的方法，这在评估小标本或细胞含量少的标本时特别有用。图像细胞术当前最常见的应用是DNA分析，其次是免疫组织化学染色定量。正在积极研究的新用途包括开发专家系统，未来这些系统可能会充当诊断顾问。除了DNA分析，图像细胞术在改善肿瘤分类、高危人群的筛查和监测以及作为提高诊断能力的工具方面具有巨大潜力。本文讨论了图像分析系统的类型、标本制备、数据采集、在特定器官部位的当前应用以及可能的未来应用。
