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Journal Article

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

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Citation

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.


Cite as: http://hdl.handle.net/21.11116/0000-0005-6A55-5
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.