Document Detail


Automatic dendritic spine analysis in two-photon laser scanning microscopy images.
MedLine Citation:
PMID:  17654649     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Dendritic spine expression plays an important role in the central nervous system. Modern fluorescence microscopy and green fluorescent protein technology have facilitated the research on spines. To quantitatively analyze the spines in fluorescence microscopy images, an automatic dendritic spine analysis method is proposed. Because of the limit of axial resolution, our method is designed to process the projection image along the z-axis and analyze the lateral spines. The method can automatically extract the dendrite centerlines and segment the spines along the dendrites according to width-based criteria. The criteria utilize a common morphological feature of the spines. It can detect some shapes of spines missed by previous methods. In addition, the proposed method is automatic once a few parameters are set. Spine numbers, lengths, and densities, which biologists are interested in, are analyzed both manually and automatically. The results of the two methods match well. The proposed method provides automatic and accurate dendritic spine analysis. It can serve as a useful tool for spine image analysis to avoid tedious manual labor.
Authors:
Wenjia Bai; Xiaobo Zhou; Liang Ji; Jie Cheng; Stephen T C Wong
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Cytometry. Part A : the journal of the International Society for Analytical Cytology     Volume:  71     ISSN:  1552-4922     ISO Abbreviation:  Cytometry A     Publication Date:  2007 Oct 
Date Detail:
Created Date:  2007-09-26     Completed Date:  2007-12-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101235694     Medline TA:  Cytometry A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  818-26     Citation Subset:  IM    
Affiliation:
Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing, PR China.
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MeSH Terms
Descriptor/Qualifier:
Animals
Dendritic Spines / metabolism*
Image Processing, Computer-Assisted / methods*
Microscopy, Confocal / methods*
Pattern Recognition, Automated / methods*
Photons*
Rats
Grant Support
ID/Acronym/Agency:
R01 LM008696/LM/NLM NIH HHS

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


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