National Center For Microscopy and Imaging Research, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0608, USA.
J Struct Biol. 2012 Oct;180(1):154-64. doi: 10.1016/j.jsb.2012.06.006. Epub 2012 Jun 27.
Electron tomography (ET) has been proven an essential technique for imaging the structure of cells beyond the range of the light microscope down to the molecular level. Large-field high-resolution views of biological specimens span more than four orders of magnitude in spatial scale, and, as a consequence, are rather difficult to generate directly. Various techniques have been developed towards generating those views, from increasing the sensor array size to implementing serial sectioning and montaging. Datasets and reconstructions obtained by the latter techniques generate multiple three-dimensional (3D) reconstructions, that need to be combined together to provide all the multiscale information. In this work, we show how to implement montages within TxBR, a tomographic reconstruction software package. This work involves some new application of mathematical concepts related to volume preserving transformations and issues of gauge ambiguity, which are essential problems arising from the nature of the observation in an electron microscope. The purpose of TxBR is to handle those issues as generally as possible in order to correct for most distortions in the 3D reconstructions and allow for a seamless recombination of ET montages.
电子断层扫描(ET)已被证明是一种将细胞结构成像到超出光显微镜范围的重要技术,可达到分子水平。生物样本的大视场高分辨率视图跨越了四个数量级的空间尺度,因此,直接生成这些视图相当困难。已经开发了各种技术来生成这些视图,从增加传感器阵列尺寸到实施连续切片和拼贴。后一种技术获得的数据集和重建会生成多个三维(3D)重建,需要将它们组合在一起以提供所有多尺度信息。在这项工作中,我们展示了如何在 TxBR 中实现拼贴,TxBR 是一个断层重建软件包。这项工作涉及到与体积保持变换和规范歧义相关的数学概念的一些新应用,这些都是电子显微镜观察所带来的基本问题。TxBR 的目的是尽可能普遍地处理这些问题,以便纠正 3D 重建中的大多数失真,并允许电子断层扫描拼贴无缝重组。