title: A feature set for cytometry on digitized microscopic images.
abstract: 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.
authors.affiliation: GSF National Research Center for Ecology and Health, Institute of Biomathematics and Biometry, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. Karsten@Rodenacker.de
authors.forename: Karsten
authors.initials: K
authors.lastname: Rodenacker
authors.forename: Ewert
authors.initials: E
authors.lastname: Bengtsson
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D019044:Image Cytometry / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008853:Microscopy / Q000379:methods; D010363:Pattern Recognition, Automated