A Centromere Attribute Integration Approach to Centromere Identification
Automated and nonautomated approaches to chromosome classification involves assessing several chromosome attributes. The centromere is an important attribute which provides insight to other features such as chromosome orientation and the banding pattern sequence. Improving the ability to identify the centromere will enhance feature determination and analysis. Techniques to identify the centromere attempt to isolate specific centromere attributes. The centromere can be characterized as possessing the following properties: 1) usually the narrowest region in the chromosome image, 2) usually located in a region containing extreme concavities along the chromosome contour, and 3) usually located in a region of uniform dark grey-level. A centromere attribute integration approach for automated centromere identification has been developed which has a correct identification rate of 93.5% on a diversified data set. This approach determines and evaluates centromere candidates based on quantified centromere attributes. Centromere attribute integration incorporates other commonly used techniques for centromere identification. Some of the techniques integrated into the experimental algorithm include evaluating chromosome curvature, analyzing the shape profile, and inspecting the width profile.
R. J. Stanley et al., "A Centromere Attribute Integration Approach to Centromere Identification," Biomedical Sciences Instrumentation, vol. 32, pp. 23-29, ISA - Instrumentation, Systems, and Automation Society, Apr 1996.
33rd Annual Rocky Mountain Bioengineering Symposium & 33rd International ISA Biomedical Sciences Instrumentation Symposium (1996: Apr. 12-13, Colorado Springs, CO)
Electrical and Computer Engineering
Keywords and Phrases
Algorithms; Automation; Genetic Engineering; Image Processing; Integration; Medical Imaging; Centromere Attribute Integration Approach; Centromere Identification; Chromosome Classification; Chromosomes; Algorithm; Centromere; Chromosome Analysis; Chromosome Banding Pattern; Classification; Computer Analysis; Image Analysis; Karyotyping; Technique; Computer-assisted; Automated Karyotyping
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 1996 ISA - Instrumentation, Systems, and Automation Society, All rights reserved.
01 Apr 1996