AUTOMATED DATA COLLECTION FOR SERIAL SECTION EM

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 获取长系列切片的高放大率图像是一个困难且劳动密集型的过程。 一个感兴趣的区域必须在整个一组可能分布在许多标本网格的部分进行跟踪。 这需要在获取高放大率图像之前以各种尺度检查切片，以确保整个组中感兴趣区域的完整性。 这种多尺度成像并不简单，因为电子显微镜形成的图像会随着放大率的变化而移动和旋转。 因此，从一组连续切片重建三维体积的总体任务提出了一个具有挑战性和耗时的过程，该过程将大规模重建的数量限制在少数壮观的例子中。 我们已经开发了一个软件应用程序原型，用于自动收集连续切片成像所需的大多数任务的数据。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Acquiring high magnification images of a long series of sections is a difficult and labor intensive process. A region of interest must be tracked across the entire set of sections which might be distributed over many specimen grids. This requires examining the sections at a variety of scales prior to acquiring the high magnification images in order to ensure the integrity of the region of interest across the entire set. Multiscale imaging of this sort is not straightforward because the image formed by an electron microscope shifts and rotates as the magnification is changed. The overall task of reconstructing a three dimensional volume from a set of serial sections thus presents a challenging and time consuming process that has limited the number of large scale reconstructions to a few spectacular examples. We have prototyped a software application to automate data collection for most of the tasks required for serial section imaging.