AUTOMATED REFINEMENT OF IMAGE STACKS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 关键词： 体量数据分析， 可视化和分销协作 摘要： 理查德·费特在洛克菲勒大学巴格曼的实验室工作，他 收集了全跃迁发射显微照片(TEM)体积数据集 在包括卵壳在内的三重线虫胚胎上。825辆中的每一辆 切片厚度为50 nm，层内分辨率为5 nm，其结果是 在每个切片中为5000x6000像素。总体数据集为25 千兆字节。此协作涉及对自动化的 通过连续切片获得的图像堆栈的对准 通过去除图像失真来获得生物标本，这将允许 任意查看和分析的组织的三维体积 方向。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Keywords: Volume data analysis, visualization and distribution collaboration Abstract: Richard Fetter, working in Bargman's lab at Rockefeller University, has collected a full transition emission micrograph (TEM) volumetric dataset on a 3-Fold embryo C. Elegans, including the egg case. Each of the 825 slices is 50 nm thick with in-slice resolution being 5 nm, which results in each slice being 5000x6000 pixels. The total volumetric dataset is 25 GBytes. This collaboration involves the investigation of automated alignment of image stacks obtained through serial sectioning of biological specimens by removing image distortion which will allow a 3-dimensional volume of tissue to be viewed and analyzed in arbitrary orientations.