| pubmed-article:8402203 | pubmed:abstractText | 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 computing 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 microseconds per profile. Thus on-line evaluation of slit-scanning data appears to become feasible for many flow cytometers running nowadays. | lld:pubmed |
