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Reconstruction of surfaces from optical sections

机译:从光学部分重建表面

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摘要

We are working on several projects which have in common the reconstruction of smooth surfaces based on data gathered using optical sections. Data collection is done using a great many techniques - most of which require manual tracing or labelling by a human trained observer. These include: camera lucida drawings or EM photomicrographs traced on a digitizing tablet, and contours traced directly on a frame-grabbed image. Optical sections are acquired using both confocal microscopy and Nomarski optics. Objects of interest range from individual cells (photoreceptors, ganglion cells), through small collections of cells, to extended regions. Some of the objects are fairly simple (e.g., individual cones in human retina, blob- or sheet-like regions of interest); the information is contained in precise measurements of the geometry. Other objects (e.g., dendritic trees) are more complicated, with most of the information contained in the shape of a branching structure. All of these types of data are processed into common representation which produces as its final product a smooth 3-D surface, with arbitrary branching structure. Common tasks such as filtering hand drawn features, automatic alignment of multiple 2-D sections to create a 3-D volume, surface reconstruction, display and analysis are supported.
机译:我们正在研究几个项目,该项目基于使用光学部分收集的数据重建平滑表面。数据收集是使用许多技术完成的 - 其中大部分需要由人工训练观察者手动跟踪或标签。这些包括:在数字化平板电脑上追踪的相机Lucida图纸或EM显微照片,以及直接在帧拍摄图像上追踪的轮廓。使用共聚焦显微镜和Nomarski光学器件获取光学部分。感兴趣的目的来自单个细胞(光感受器,神经节细胞),通过小细胞集合到扩展区域。一些物体是相当简单的(例如,人类视网膜中的个体锥体,斑点或感兴趣的片状区域);信息包含在几何体的精确测量中。其他物体(例如,树突树)更加复杂,大部分信息包含在分支结构的形状。所有这些类型的数据都被加工成公共表示,其作为其最终产品产生光滑的3-D表面,具有任意支化结构。诸如过滤手绘功能的常见任务,支持多个2-D部分的自动对准,以创建3-D卷,表面重建,显示和分析。

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