Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 501206, 13 pages
http://dx.doi.org/10.1155/2014/501206
Research Article

An Automatic Indirect Immunofluorescence Cell Segmentation System

1Department of Management Information Systems, National Chung Hsing University, Taichung 402, Taiwan
2Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, Taiwan
3Department of Science and Biotechnology, China Medical University, Taichung 402, Taiwan
4Department of Computer Science, University of Munster, 48149 Münster, Germany

Received 26 February 2014; Accepted 24 April 2014; Published 22 May 2014

Academic Editor: Her-Terng Yau

Copyright © 2014 Yung-Kuan Chan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Indirect immunofluorescence (IIF) with HEp-2 cells has been used for the detection of antinuclear autoantibodies (ANA) in systemic autoimmune diseases. The ANA testing allows us to scan a broad range of autoantibody entities and to describe them by distinct fluorescence patterns. Automatic inspection for fluorescence patterns in an IIF image can assist physicians, without relevant experience, in making correct diagnosis. How to segment the cells from an IIF image is essential in developing an automatic inspection system for ANA testing. This paper focuses on the cell detection and segmentation; an efficient method is proposed for automatically detecting the cells with fluorescence pattern in an IIF image. Cell culture is a process in which cells grow under control. Cell counting technology plays an important role in measuring the cell density in a culture tank. Moreover, assessing medium suitability, determining population doubling times, and monitoring cell growth in cultures all require a means of quantifying cell population. The proposed method also can be used to count the cells from an image taken under a fluorescence microscope.