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Enhanced Volume Rendering Techniques for High-Resolution Color Cryo-Imaging Data

机译:增强高分辨率颜色冷冻成像数据的体积渲染技术

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We are developing enhanced volume rendering techniques for color image data. One target application is cryo-imaging, which provides whole-mouse, micron-scale, anatomical color, and molecular fluorescence image volumes by alternatively sectioning and imaging the frozen tissue block face. With the rich color images provided by cryo-imaging, we use true-color volume rendering and visually enhance anatomical regions by proper selection of voxel opacity. To compute opacity, we use color and/or gradient feature detection followed by suitable opacity transfer functions (OTF). An interactive user interface allows one to select from among multiple color and gradient feature detectors, OTF's, and their associated parameters, and to compute in live time new volume visualizations from within the Amira platform. We are also developing multi-resolution volume rendering techniques to accommodate extremely large (>60GB) cryo-image data sets. Together, these enhancements enable us to interactively interrogate cryo-image volume data and create useful renderings with "implicit segmentation" of organs.
机译:我们正在为彩色图像数据开发增强的体积渲染技术。一种目标应用是低温成像,其通过替代地切片和成像来提供全鼠,微米级,解剖学颜色和分子荧光图像体积。 With the rich color images provided by cryo-imaging, we use true-color volume rendering and visually enhance anatomical regions by proper selection of voxel opacity.为了计算不透明度,我们使用颜色和/或渐变特征检测,然后使用合适的透明度传输函数(OTF)。交互式用户界面允许其中一个颜色和渐变特征检测器,OTF和它们的关联参数中的选择,并在Amira平台内的实时时间新卷可视化中计算。我们还开发了多分析量渲染技术,以适应极大的(> 60GB)Cryo-Image数据集。这些增强功能在一起使我们能够交互方式询问冷冻图像卷数据,并使用器官的“隐式分段”创建有用的渲染。

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