Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models

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 m...

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Detalles Bibliográficos
Autores principales: Zhao, Ting, Xie, Jun, Amat, Fernando, Clack, Nathan, Ahammad, Parvez, Peng, Hanchuan, Long, Fuhui, Myers, Eugene
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3104133/
https://www.ncbi.nlm.nih.gov/pubmed/21547564
http://dx.doi.org/10.1007/s12021-011-9120-3
Descripción
Sumario: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.

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