Time-optimized analysis of slit-scan chromosome profiles on a general-purpose personal computer

Slit-scan flow cytometry provides a method to analyze large numbers of metaphase chromosomes in a relatively short time due to morphological features. The high detection rate requires fast comuting for on-line analysis. Up to now, this has been achieved using special-purpose computers, parallel syst...

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Bibliographic Details
Published in:Bioinformatics 1993-08, Vol.9 (4), p.381-385
Main Authors: Heilig, R, Hausmann, M, Rens, W, Aten, J.A, Cremer, C
Format: Article
Language:English
Subjects:
Algorithms
Analytical, structural and metabolic biochemistry
Animals
Biological and medical sciences
chromosome morphology
chromosomes
Chromosomes - ultrastructure
Chromosomes, Human - ultrastructure
computer analysis
Cricetinae
Cricetulus
flow cytometry
Flow Cytometry - methods
Flow Cytometry - statistics & numerical data
Fundamental and applied biological sciences. Psychology
General aspects, investigation methods
Humans
metaphase
Microcomputers
Online Systems
Proteins
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Summary:Slit-scan flow cytometry provides a method to analyze large numbers of metaphase chromosomes in a relatively short time due to morphological features. The high detection rate requires fast comuting for on-line analysis. Up to now, this has been achieved using special-purpose computers, parallel systems or other complex hardware. Here, we describe an algorithm that can be implemented on a general-purpose personal computer. Digitized chromosome profiles can be classified by several criteria especially for the detection of chromosome abnormalities in biological dosimetry. A data set of approximately 4600 profiles was used. Programming in assembler results in an average computing time of about 600 micros per profile. Thus on-line evaluation of slit-scanning data appears to become feasible for many flow cytometers running nowadays.
ISSN:0266-7061
1367-4803
1460-2059
DOI:10.1093/bioinformatics/9.4.381