Linked Life Data

8402203

Source:http://linkedlifedata.com/resource/pubmed/id/8402203

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1993-11-19
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0266-7061
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
381-5
pubmed:dateRevised
2005-11-17
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
Time-optimized analysis of slit-scan chromosome profiles on a general-purpose personal computer.
pubmed:affiliation
Institute of Applied Physics, University, Heidelberg, Germany.
pubmed:publicationType
Journal Article