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Proceedings Paper

Automatic detection and quantitative analysis of cells in the mouse primary motor cortex
Author(s): Yunlong Meng; Yong He; Jingpeng Wu; Shangbin Chen; Anan Li; Hui Gong
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Paper Abstract

Neuronal cells play very important role on metabolism regulation and mechanism control, so cell number is a fundamental determinant of brain function. Combined suitable cell-labeling approaches with recently proposed three-dimensional optical imaging techniques, whole mouse brain coronal sections can be acquired with 1-μm voxel resolution. We have developed a completely automatic pipeline to perform cell centroids detection, and provided three-dimensional quantitative information of cells in the primary motor cortex of C57BL/6 mouse. It involves four principal steps: i) preprocessing; ii) image binarization; iii) cell centroids extraction and contour segmentation; iv) laminar density estimation. Investigations on the presented method reveal promising detection accuracy in terms of recall and precision, with average recall rate 92.1% and average precision rate 86.2%. We also analyze laminar density distribution of cells from pial surface to corpus callosum from the output vectorizations of detected cell centroids in mouse primary motor cortex, and find significant cellular density distribution variations in different layers. This automatic cell centroids detection approach will be beneficial for fast cell-counting and accurate density estimation, as time-consuming and error-prone manual identification is avoided.

Paper Details

Date Published: 17 September 2014
PDF: 14 pages
Proc. SPIE 9230, Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014), 92301E (17 September 2014); doi: 10.1117/12.2068857
Show Author Affiliations
Yunlong Meng, Huazhong Univ. of Science and Technology (China)
Yong He, Huazhong Univ. of Science and Technology (China)
Jingpeng Wu, Huazhong Univ. of Science and Technology (China)
Shangbin Chen, Huazhong Univ. of Science and Technology (China)
Anan Li, Huazhong Univ. of Science and Technology (China)
Hui Gong, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9230:
Twelfth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2014)
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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