Document Detail


A new combined integral-light and slit-scan data analysis system (DAS) for flow cytometry.
MedLine Citation:
PMID:  8194305     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Flow cytometry using list mode parameters such as fluorescence emission, light scatter and size on one hand and different slit-scan parameters on the other hand needs a fast, flexible, efficient and easy-to-use data analysis software. A new software package (data analysis system, DAS) has been developed that integrates data analysis for conventional (integral-light) flow cytometry and for slit-scan flow cytometry. The requirements, design and some examples are discussed and an implementation for IBM-compatible computers is presented. Special attention is directed to the handling of different data types from one-parameter histograms to multiparameter slit-scan data files. The package can be used as an interpreting programming language or as an interactive menu-driven command line interpreter with a large number of graphic, mathematical and statistical functions. DAS is not limited to use in flow cytometry only, but multidimensional data analysis, from astronomy to economics, can be done as well.
Authors:
W Beisker
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  42     ISSN:  0169-2607     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  1994 Feb 
Date Detail:
Created Date:  1994-06-27     Completed Date:  1994-06-27     Revised Date:  2000-12-18    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  15-26     Citation Subset:  IM    
Affiliation:
GSF-Institut für Biophysikalische Strahlenforschung, Neuherberg, Oberschleissheim, Germany.
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MeSH Terms
Descriptor/Qualifier:
Automatic Data Processing*
Data Display
Flow Cytometry / methods*
Software*
User-Computer Interface

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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