AUTOMATED REFINEMENT OF IMAGE STACKS

该子项目是利用资源的众多研究子项目之一 由 NIH/NCRR 资助的中心拨款提供。子项目的主要支持 并且子项目的主要研究者可能是由其他来源提供的， 包括其他 NIH 来源。 子项目可能列出的总成本 代表子项目使用的中心基础设施的估计数量， NCRR 赠款不直接向子项目或子项目工作人员提供资金。 关键词： 体量数据分析， 可视化和分发协作 摘要： 理查德·费特 (Richard Fetter) 在洛克菲勒大学巴格曼实验室工作， 收集了完整的跃迁发射显微照片 (TEM) 体积数据集 在 3 倍胚胎 C. Elegans 上，包括卵壳。第 825 章 切片厚度为 50 nm，切片内分辨率为 5 nm，结果 每个切片的大小为 5000x6000 像素。总体积数据集为 25 GB。此次合作涉及自动化的研究 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 任意观察和分析组织的 3 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.