Ssecrett和NeuroTrace：用于大规模神经科学数据集的交互式可视化和分析工具。 （注：原文中“Ssecrett”可能有误，推测可能是“Secret”之类的词）
Ssecrett and NeuroTrace: interactive visualization and analysis tools for large-scale neuroscience data sets.
作者信息
Jeong Wan-Ki, Beyer Johanna, Hadwiger Markus, Blue Rusty, Law Charles, Vazquez-Reina Amelio, Reid R Clay, Lichtman Jeff, Pfister Hanspeter
机构信息
Harvard University, Cambridge, MA, USA.
出版信息
IEEE Comput Graph Appl. 2010 May-Jun;30(3):58-70. doi: 10.1109/MCG.2010.56.
Abstract
Data sets imaged with modern electron microscopes can range from tens of terabytes to about one petabyte. Two new tools, Ssecrett and NeuroTrace, support interactive exploration and analysis of large-scale optical-and electron-microscopy images to help scientists reconstruct complex neural circuits of the mammalian nervous system.
摘要
用现代电子显微镜成像的数据集大小范围可以从几十太字节到大约一 petabyte。两个新工具 Ssecrett 和 NeuroTrace，支持对大规模光学和电子显微镜图像进行交互式探索与分析，以帮助科学家重建哺乳动物神经系统的复杂神经回路。
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