Biomedical Imaging Group Rotterdam, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
Cytometry A. 2010 Jul;77(7):693-704. doi: 10.1002/cyto.a.20895.
The study of the structure and function of neuronal cells and networks is of crucial importance in the endeavor to understand how the brain works. A key component in this process is the extraction of neuronal morphology from microscopic imaging data. In the past four decades, many computational methods and tools have been developed for digital reconstruction of neurons from images, with limited success. As witnessed by the growing body of literature on the subject, as well as the organization of challenging competitions in the field, the quest for a robust and fully automated system of more general applicability still continues. The aim of this work, is to contribute by surveying recent developments in the field for anyone interested in taking up the challenge. Relevant aspects discussed in the article include proposed image segmentation methods, quantitative measures of neuronal morphology, currently available software tools for various related purposes, and morphology databases. (c) 2010 International Society for Advancement of Cytometry.
神经元细胞和网络的结构和功能研究对于理解大脑如何工作至关重要。这一过程的一个关键组成部分是从微观成像数据中提取神经元形态。在过去的四十年中，已经开发出许多用于从图像中数字化重建神经元的计算方法和工具，但取得的成功有限。从这个主题的不断增长的文献以及该领域有挑战性的竞赛的组织中可以看出，寻求更具普遍性和更稳健的全自动系统的努力仍在继续。这项工作的目的是通过调查该领域的最新发展，为有兴趣接受这一挑战的人提供参考。文章中讨论的相关方面包括提出的图像分割方法、神经元形态的定量测量、各种相关用途的现有软件工具以及形态数据库。（c）2010 年国际细胞分析学会。
