Document Detail


Automated counting of mammalian cell colonies.
MedLine Citation:
PMID:  11197679     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Investigating the effect of low-dose radiation exposure on cells using assays of colony-forming ability requires large cell samples to maintain statistical accuracy. Manually counting the resulting colonies is a laborious task in which consistent objectivity is hard to achieve. This is true especially with some mammalian cell lines which form poorly defined or 'fuzzy' colonies, typified by glioma or fibroblast cell lines. A computer-vision-based automated colony counter is presented in this paper. It utilizes novel imaging and image-processing methods involving a modified form of the Hough transform. The automated counter is able to identify less-discrete cell colonies typical of these cell lines. The results of automated colony counting are compared with those from four manual (human) colony counts for the cell lines HT29, A172, U118 and IN1265. The results from the automated counts fall well within the distribution of the manual counts for all four cell lines with respect to surviving fraction (SF) versus dose curves, SF values at 2 Gy (SF2) and total area under the SF curve (Dbar). From the variation in the counts, it is shown that the automated counts are generally more consistent than the manual counts.
Authors:
P R Barber; B Vojnovic; J Kelly; C R Mayes; P Boulton; M Woodcock; M C Joiner
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Physics in medicine and biology     Volume:  46     ISSN:  0031-9155     ISO Abbreviation:  Phys Med Biol     Publication Date:  2001 Jan 
Date Detail:
Created Date:  2001-01-24     Completed Date:  2001-03-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0401220     Medline TA:  Phys Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  63-76     Citation Subset:  IM    
Affiliation:
Gray Laboratory Cancer Research Trust, Mount Vernon Hospital, Northwood, Middlesex, UK. barber@graylab.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Automation*
Cell Count*
Cell Line
Cell Separation
Cell Survival
Cells, Cultured / radiation effects*
Cytological Techniques / methods*
Dose-Response Relationship, Radiation
Fibroblasts / cytology
Flow Cytometry
Humans
Image Processing, Computer-Assisted / methods
Reproducibility of Results
Software
Tumor Cells, Cultured

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


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