doi: 10.7763/IJFCC.2012.V1.19
Fluorescence Microscopic Image Cell Segmentation
Yung-Kuan Chan
1
,
Pei-Yan Pai
3
,
Chia-Chi Liu
2
,
Ying-Siou Wang
1
,
Ching-Wu Li
1,2
,
Li-Ya Wang
1
- 1 Department of Management Information Systems, Taiwan, R.O.C.
- 2 Department of Computer Science and Information and Engineering, National Chung Hsing University, No. 250, Kuokuang Rd., Taichung, Taiwan, R.O.C.
- 3 Department of Computer Science, National Tsing Hua University, No. 101, Section 2, Kuang-Fu Rd., Hsinchu 300, Taiwan, R.O.C.
Abstract
Apoptosis is a process of Programmed Cell Death (PCD) that is a naturally occurring process in the body. The defective apoptosis process will causes extensive variety of diseases, such as cancer, ischemic damage, and etc. Hence, apoptosis is widely applied in disease analysis and disease treatments. How to segment the cells from a Fluorescence Microscope (FM) image is essential in developing an automatic computer-aided system for Apoptosis detection. In this paper, a Fluorescence Microscopic Image Cell Segmenting (FMICS) system is proposed to cut cells off from an image under fluorescence microscope. The experimental results indicate that the FMICS system provides an impressive performance than the compared methods.
Keywords
- Apoptosis
- cell counting
- fluorescence microscope
- image segmentation
How to Cite
Yung-Kuan Chan, Pei-Yan Pai, Chia-Chi Liu, Ying-Siou Wang, Ching-Wu Li, and Li-Ya Wang, "Fluorescence Microscopic Image Cell Segmentation," International Journal of Future Computer and Communication, vol. 1, no. 1, pp. 72-75, 2012. https://doi.org/ 10.7763/IJFCC.2012.V1.19
Copyright & License
Copyright © 2012 by the authors. 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 (CC BY 4.0).