利用 IMOD 高效地对低温电子断层扫描图像进行手动注释。

Department of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305, USA.

Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.

STAR Protoc. 2022 Sep 16;3(3):101658. doi: 10.1016/j.xpro.2022.101658. Epub 2022 Sep 5.

Annotation highlights and segmentation isolates features in cryogenic electron tomograms to improve visualization and quantification of features (for example, their size and abundance, and spatial relationships with other features), facilitating phenotypic structural analyses of cellular tomograms. Here, we present a manual annotation protocol using the open-source software IMOD and describe segmentation of three types of common cellular features: membranes, large globules, and filaments. IMOD's interpolation function can improve the speed of manual annotation up to an order of magnitude.

注释突出显示和分割可分离低温电子断层图像中的特征，以改善特征的可视化和定量（例如，它们的大小和丰度，以及与其他特征的空间关系），从而促进细胞断层图像的表型结构分析。在这里，我们使用开源软件 IMOD 展示了一种手动注释协议，并描述了三种常见细胞特征的分割：膜、大球和丝。IMOD 的插值功能可以将手动注释的速度提高一个数量级。