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  Computational counting for a quantitative analysis of cells in histologically prepared brain sections

Benali, A., Leefken, I., Kastrup, D., & Weiler, E. (2003). Computational counting for a quantitative analysis of cells in histologically prepared brain sections. Neurocomputing, 52-54, 209-214. doi:10.1016/S0925-2312(02)00736-1.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-6A55-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-6A56-4
Genre: Journal Article

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Benali, A, Author
Leefken, I, Author
Kastrup, D, Author
Weiler, E1, Author              
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1External Organizations, ou_persistent22              

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 Abstract: We propose a reliable method for automatic counting of cells in brain sections for different antibodies (NeuN, Parvalbumin, GABA and c-Fos) and Nissl-staining. The images of stained sections are binarized by thresholding. Then regions are clustered using a common clustering algorithm. After choosing only proper sized clusters the detected cell-bodies are counted. The parameters of the algorithm are adjusted manually and remain constant for different probes. The computational cell counting method provides correct counting results, shown by a comparison of computational results and counts gained by human experimenters.

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 Dates: 2003-06
 Publication Status: Published in print
 Pages: -
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 Identifiers: DOI: 10.1016/S0925-2312(02)00736-1
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Title: Neurocomputing
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 52-54 Sequence Number: - Start / End Page: 209 - 214 Identifier: ISSN: 0925-2312
CoNE: https://pure.mpg.de/cone/journals/resource/954925566733