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Neuroinformatics. 2011 Sep;9(2-3):247-61. doi: 10.1007/s12021-011-9120-3.

Automated reconstruction of neuronal morphology based on local geometrical and global structural models.

Author information

1
Qiushi Academy for Advanced Studies, Zhejiang University, 38 ZheDa Road, Hangzhou 310027, China. tingzhao@gmail.com

Abstract

Digital reconstruction of neurons from microscope images is an important and challenging problem in neuroscience. In this paper, we propose a model-based method to tackle this problem. We first formulate a model structure, then develop an algorithm for computing it by carefully taking into account morphological characteristics of neurons, as well as the image properties under typical imaging protocols. The method has been tested on the data sets used in the DIADEM competition and produced promising results for four out of the five data sets.

PMID:
21547564
PMCID:
PMC3104133
DOI:
10.1007/s12021-011-9120-3
[Indexed for MEDLINE]
Free PMC Article

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