BigDataViewer：TB级数据集的交互式可视化和图像处理
BigDataViewer: Interactive Visualization and Image Processing for Terabyte Data Sets
摘要：
越来越流行的光片显微镜技术产生非常大的三维时间推移记录活的生物标本。使大型体积数据集可用于交互式可视化和分析的必要性已被广泛认识。然而，现有的解决方案建立在专用服务器上以生成被传送到客户端应用的虚拟切片，实际上导致用于真正交互式体验的帧速率（小于每秒10帧）不足。一个易于访问的开放源代码的解决方案，交互式任意虚拟重新切片非常大的体积和体积的时间序列尚未失踪。我们用BigDataViewer填补了这一空白，这是一个斐济插件，可以交互式地导航和可视化来自本地和远程数据源的大图像序列。
英文摘要：
The increasingly popular light sheet microscopy techniques generate very large 3D time-lapse recordings of living biological specimen. The necessity to make large volumetric datasets available for interactive visualization and analysis has been widely recognized. However, existing solutions build on dedicated servers to generate virtual slices that are transferred to the client applications, practically leading to insufficient frame rates (less than 10 frames per second) for truly interactive experience. An easily accessible open source solution for interactive arbitrary virtual re-slicing of very large volumes and time series of volumes has yet been missing. We fill this gap with BigDataViewer, a Fiji plugin to interactively navigate and visualize large image sequences from both local and remote data sources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
