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。子项目的主要支持 子项目的主要研究者可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 保留字： 体积数据分析， 可视化和分发协作 摘要： 理查德·费特在洛克菲勒大学巴格曼的实验室工作， 收集了一个完整的过渡发射显微照片（TEM）体积数据集 在3倍胚胎C.优雅，包括鸡蛋盒。825人中的每一个 切片厚度为50 nm，切片内分辨率为5 nm，这导致 每个切片为5000 × 6000像素。总体积数据集为25 甘精胰岛素这种合作涉及自动化的调查， 通过连续切片获得的图像堆栈的对齐 生物标本通过消除图像失真，这将允许 3-组织的三维体积被观察和分析，在任意 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.