使用BossDB工具访问,可视化和共享体积神经科学数据
Hannah Martinez1, Nicole Guittari1, Timothy Gion1
1Johns Hopkins Applied Physics Laboratory, Laurel, Maryland.
Current protocols
|October 28, 2025
概括
博斯DB提供了一个免费的基于云的存档,用于特级神经成像数据,专注于FAIR原则. 它为研究人员提供工具和协议,以访问,分析和共享电子显微镜和连接数据集.
科学领域:
- 神经科学是一个神经科学.
- 数据科学数据科学数据科学
- 生物信息学是一种生物信息学.
背景情况:
- 小尺寸神经成像数据带来了大量的存储和可访问性挑战.
- 分享和分析大规模的神经成像数据集对于推进神经科学研究至关重要.
- 现有的数据档案可能不完全遵守FAIR (可查找,可访问,可互操作,可重复使用) 原则.
研究的目的:
- 介绍BossDB,这是一个免费和公开可访问的档案,用于特级神经成像数据.
- 为使用BossDB的接口和数据管理和分析工具提供详细的协议.
- 为了促进电子显微镜 (EM) 和X射线微断层图像 (XRM) 成像数据的共享和可访问性.
主要方法:
- BossDB使用基于云的基础设施和软件工具来确保数据的可访问性和分析.
- 该档案支持体积EM和XRM成像数据,包括细分,注释,网格和连接组.
- 用户可以通过网站,Python SDK和Web API与BossDB交互,进行各种数据操作.
主要成果:
- 为浏览,访问,下载,可视化,分析和上传数据提供了逐步的协议.
- 具体协议涵盖使用Python SDK和数据API访问数据,对元数据进行查询和创建可视化.
- 帐户创建和数据上传 (公共和私人) 的协议也详细说明.
结论:
- 博斯DB提供了一个全面的解决方案,用于管理和分析大规模的神经成像数据集.
- 提供的协议使研究人员能够有效地使用BossDB进行数据探索和贡献.
- 博斯DB促进了 FAIR 数据原则,增强神经科学界的协作潜力.
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