A formal ontology of subcellular neuroanatomy.
A formal ontology of subcellular neuroanatomy.
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DOI：
10.3389/neuro.11.003.2007
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发表时间：
2007
影响因子：
3.5
通讯作者：
Martone ME
中科院分区：
文献类型：
--
作者：
Larson SD;Fong LL;Gupta A;Condit C;Bug WJ;Martone ME
神经系统的复杂性需要高分辨率显微镜来解析神经细胞和超细胞结构域的详细3D结构。分析这些成像数据以提取细胞表面和细胞成分通常需要将专业的人类知识与精心设计的软件工具相结合。为了制造更好的工具来帮助人类完成这项工作，为他们的数据创建更易于访问和永久的记录，并帮助构建复杂和详细的计算模型，我们已经创建了一个关于神经系统结构的形式化知识的核心，并将该核心集成到几个软件应用程序中。在本文中，我们描述了一个形式本体的结构和内容，其范围是神经系统的亚细胞解剖学（SAO），涵盖神经细胞，它们的部分，以及这些部分之间的相互作用。本文还描述了该本体在图像标注、基于内容的结构数据检索以及跨尺度和跨研究人员共享数据集成等方面的应用。
The complexity of the nervous system requires high-resolution microscopy to resolve the detailed 3D structure of nerve cells and supracellular domains. The analysis of such imaging data to extract cellular surfaces and cell components often requires the combination of expert human knowledge with carefully engineered software tools. In an effort to make better tools to assist humans in this endeavor, create a more accessible and permanent record of their data, and to aid the process of constructing complex and detailed computational models, we have created a core of formalized knowledge about the structure of the nervous system and have integrated that core into several software applications. In this paper, we describe the structure and content of a formal ontology whose scope is the subcellular anatomy of the nervous system (SAO), covering nerve cells, their parts, and interactions between these parts. Many applications of this ontology to image annotation, content-based retrieval of structural data, and integration of shared data across scales and researchers are also described.