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A feature set for cytometry on digitized microscopic images.

机译:用于在数字化显微图像上进行细胞计数的功能集。

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摘要

Feature extraction is a crucial step in most cytometry studies. In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. The feature sets described are divided into morphometric, densitometric, textural and structural features. The latter group is used to describe the eu- and hetero-chromatin in a way complementing the textural methods. The main goal of the paper is to bring attention to the need of a common and well defined description of features used in cyto- and histometrical studies. The application of the sets of features is shown in an overview of projects from different fields. Finally some rules of thumb for the design of studies in this field are proposed.Colour figures can be viewed on http://www.esacp.org/acp/2003/25-1/rodenacker.htm.
机译:特征提取是大多数细胞计数研究中的关键步骤。本文提出了一种系统的特征提取方法。描述和说明了过去25年间在GSF生物医学图像分析实验室以及乌普萨拉图像分析中心开发并用于定量细胞学的功能集。所描述的特征集分为形态特征,光密度特征,纹理特征和结构特征。后者用于补充染色质方法的正常染色质和异染色质。本文的主要目的是引起人们对对细胞和组织学研究中使用的特征进行通用且定义明确的描述的需求。在不同领域的项目概述中显示了功能集的应用。最后,提出了该领域研究设计的一些经验法则。有关颜色的数字,请访问http://www.esacp.org/acp/2003/25-1/rodenacker.htm。

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