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http://dx.doi.org/10.5302/J.ICROS.2003.9.10.844

Development of Semi-Automatic Karyotyping System Using Image Processing  

김학경 (부경대학교 메카트로닉스학과)
강병철 (주식회사 S.J. High Tech.)
박준형 (주식회사 S.J. High Tech.)
서진호 (부경대학교 기계공학부)
김상봉 (부경대학교 기계공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.9, no.10, 2003 , pp. 844-851 More about this Journal
Abstract
We introduces a development result of semi-automatic karyotyping system using image processing method to improve a long time working of the manual method and 5% error of traditional automatic karyotying system for analyzing karyotying. The karyotyping procedures have many routine tasks such as searching metaphases, taking pictures, developing, editing, etc. There are several automatic karyotyping systems in order to reduce the task in advanced countries. However, they are very expensive, applicable to only human chromosome, and have too many functions to use easily. This paper takes aim at high quality image resolution and development of interface that can adjust brightness and contrast of image on-line. The system can be applied to animal and plants as well as human's chromosome. The system developed in this paper is applied to pig and human. The effectiveness of the system is proved by hospitals in Korea.
Keywords
karyotyping; chromosome; chromosome banding; metaphase; cytogenetics;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 E. A. Barnard, A. C. Bloomer, K. E. Davies, S. P. Hunt, R. J. Keynes, T. H. Rabbitts, P. H. Rubery, M. F. Tutte, C. Watts, S. D. J. Weatherall and R.A.H. White, The encyclopedia of Molecular Biology, Blackwell Science, Germany, pp. 568,1995
2 H. K. Kim, D. K. Kim, N. S. Jeong, S. B. Kim, and M. S. Lee, 'Reconstruction and elimination of optical microscopic background using surface fitting method', Journal of Fisheries Science and Technology, vol.4,no. 1, pp.10-17, 2001
3 W K. Purves, G. H. Orians, H. C Heller, D. Sadava, Life:The Science of Biology, Sinauer Associates, INC, pp. 205-206,2001
4 조한익, 박성섭외 5명, '염색체자동분석기-Chromosys 시스템의 개발 및 임상적 이용', 대한임상검사정도관리협회지(Journal of Clinical Pathology and Quality Control), 제 20권, 제2호, pp. 309-314, 1998
5 N. Otsu, 'A thresholding selection method from gray-level histogram', IEEE transaction on systems, man and cybernetics, SMC-9, pp. 62-66,1979
6 H. K. Kim, N. S. Jeong, Kim, S. B. and M. S. Lee, 'Morphological feature extraction of microorganisms using image processing', Journal of Fisheries Science and Technology, vol. 4, no. 1, pp. 1-9,2001
7 M. Sonka, V Hlavac and R. Boyles, Image Processing Analysis, and Machine, PSW Publishing, 1999
8 H. K Kim, S. H. Lee, M. S. Lee, S. B. Kim, 'A segmentation method for counting microbial cells in microscopic image', Transactions on Control, Automation and Systems Enginering, vol.4, no. 3, pp. 224-230, Sept. 2002
9 K. R. Castleman, Digital Image Processing, Prentice Hall, Inc., 1996
10 M. H. Chowdhury and W. D. Little, 'Image thresholding techniques', IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing, pp. 585-589,1995