Skip Navigation

This Article
Right arrow Full Text (Print PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Heilig, R.
Right arrow Articles by Cremer, C.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Heilig, R.
Right arrow Articles by Cremer, C.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Oxford University Press

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

Rainer Heilig 1, Michael Hausmann 1, Wim Rens 2, Jacob A. Aten 2 and Christoph Cremer 1,3,4

1Institute of Applied Physics of the University Albert-Überle-Strasse 3-5, D-69120 Heidelberg, Germany
2Laboratory of Radiobiology Gebouw F-0, AMC, Meibergdreef 9, NL-1105 AZ Amsterdam, The Netherlands
3Interdisciplinary Centre for Scientific Computing (IWR) of the University Im Neuenheimer Feld 368, D-69120 Heidelberg, Germany FRG

4To whom reprint requests should be sent

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 {bsim}4600 profiles was used. Programming in assembler results in an average computing time of about 600 µs per profile. Thus on-line evaluation of slit-scanning data appears to become feasible for many flow cytometers running nowadays.


Received on March 18, 1992; accepted on June 5, 1992

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.