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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
|
| pubmed:dateCreated |
1989-10-11
|
| pubmed:abstractText |
The usefulness of multidimensional slit-scan flow cytometry in whole cell measurements is dependent on extracting relevant features from the cellular fluorescence distributions (slit-scan contours). In addition, the extraction of these features must be rapid to allow for real-time data processing during acquisition. This paper describes two algorithms that have been used successfully to count the numbers of local maxima (peaks) and to find nuclear boundaries in a cellular fluorescence distribution. These routines are efficient, use only simple integer arithmetic, and have been implemented on several different microprocessors.
|
| pubmed:grant | |
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Jul
|
| pubmed:issn |
0196-4763
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
10
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
402-9
|
| pubmed:dateRevised |
2007-11-14
|
| pubmed:meshHeading | |
| pubmed:year |
1989
|
| pubmed:articleTitle |
Technique for cellular fluorescence distribution analysis.
|
| pubmed:affiliation |
Department of Pathology, University of Rochester Medical Center, New York 14642.
|
| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
|