ConnectomeExplorer: query-guided visual analysis of large volumetric neuroscience data.
ConnectomeExplorer: query-guided visual analysis of large volumetric neuroscience data.
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DOI：
10.1109/tvcg.2013.142
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发表时间：
2013-12
影响因子：
5.2
通讯作者：
Hadwiger M
中科院分区：
文献类型：
--
作者：
Beyer J;Al-Awami A;Kasthuri N;Lichtman JW;Pfister H;Hadwiger M
本文介绍了 ConnectomeExplorer，这是一款用于在连接组学研究中对大型体积电子显微镜 (EM) 数据集进行交互式探索和查询引导的可视化分析的应用程序。我们的系统包含基于知识的查询代数，支持动态评估查询的交互式规范，使神经科学家能够以直观的方式提出和回答特定领域的问题。查询是在可视化查询生成器中逐步构建的，从更简单的查询组合构建更复杂的查询。我们的应用程序基于可扩展的体积可视化框架，该框架可扩展到多个体积（每个体积包含多个 teravoxels），从而能够同时可视化和查询原始 EM 体积、附加分割体积、神经元连接性以及包含各种神经元数据属性的附加元数据。我们在大约 1 TB 的 EM 数据和 750 GB 分段数据的数据集上评估我们的应用程序，其中包含 4,000 多个分段结构和 1,000 个突触。我们展示了神经科学领域合作者的典型用例场景，我们的系统使他们能够首次使用对全尺寸数据的交互式查询和分析来回答特定的科学问题。
This paper presents ConnectomeExplorer, an application for the interactive exploration and query-guided visual analysis of large volumetric electron microscopy (EM) data sets in connectomics research. Our system incorporates a knowledge-based query algebra that supports the interactive specification of dynamically evaluated queries, which enable neuroscientists to pose and answer domain-specific questions in an intuitive manner. Queries are built step by step in a visual query builder, building more complex queries from combinations of simpler queries. Our application is based on a scalable volume visualization framework that scales to multiple volumes of several teravoxels each, enabling the concurrent visualization and querying of the original EM volume, additional segmentation volumes, neuronal connectivity, and additional meta data comprising a variety of neuronal data attributes. We evaluate our application on a data set of roughly one terabyte of EM data and 750 GB of segmentation data, containing over 4,000 segmented structures and 1,000 synapses. We demonstrate typical use-case scenarios of our collaborators in neuroscience, where our system has enabled them to answer specific scientific questions using interactive querying and analysis on the full-size data for the first time.