Document Detail

A counting method for density packed cells based on sliding band filter image enhancement.
MedLine Citation:
PMID:  23458490     Owner:  NLM     Status:  In-Data-Review    
Cell loss and addition is an important biological event in pathology, and it usually provides central information to the changes of biological activity in the histological sections. To develop a reliable and accurate cell counting tools in tissue section, in this paper, we proposed a novel cell nuclei detecting method based on the sliding band filter which is a member of convergence index family. We evaluated the accuracy and performance of our method on density packed retinal outer nuclear layer cell confocal multivariate fluorescence microscopy image datasets. The results show our proposed method exhibited an excellent performance with its accuracy compared with human manual counting. It is worth noting that the proposed cell counting method can clearly benefit for retinal detachment and reattachment visual diagnostics close related to cell loss and addition.
D Sui; K Wang
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of microscopy     Volume:  250     ISSN:  1365-2818     ISO Abbreviation:  J Microsc     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-03-05     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0204522     Medline TA:  J Microsc     Country:  England    
Other Details:
Languages:  eng     Pagination:  42-9     Citation Subset:  IM    
Copyright Information:
© 2013 The Authors Journal of Microscopy © 2013 Royal Microscopical Society.
Biocomputing Research Center, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
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