CAVE: Connectome Annotation Versioning Engine

doi:10.1038/s41592-024-02426-z

2025-04-09

Sven Dorkenwald

Casey M Schneider-Mizell

Jeremy Maitin-Shephard

Nuno Maçarico da Costa

H. Sebastian Seung

DOI：10.1038/s41592-024-02426-z

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摘要

En 中文

电子显微镜、图像分割和计算基础设施的进步催生了大规模且注释丰富的连接组学数据集，这些数据集正日益在各研究社区间共享。为促进协作，用户需要能够同时创建注释并通过校对纠正自动化分割中的错误。在大规模数据集中，每次校对编辑都会重新标记数百万体素和数千个注释（如突触）的细胞身份。进行数据分析时，用户需要即时且可重复地访问这一动态变化和扩展的数据环境。本文介绍了连接组注释版本化引擎（CAVE），这是一种计算基础设施，为校对提供了可扩展的解决方案，并支持灵活的注释功能，以实现任意时间点的快速分析查询。CAVE作为一套网络服务部署，使分布式社区能够在持续校对和注释过程中，对高达拍字节规模（约1 mm³）的数据集进行可重复的连接组分析。

Keyword:

RECONSTRUCTION

CIRCUITS

期刊

Nature Methods

IF:

32.1

论文数:

7.2K

被引数:

12.7W

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