Perdigão Luís M A, Ho Elaine M L, Cheng Zhiyuan C, Yee Neville B-Y, Glen Thomas, Wu Liang, Grange Michael, Dumoux Maud, Basham Mark, Darrow Michele C
Artificial Intelligence and Informatics, The Rosalind Franklin Institute, Didcot, UK.
School of Chemistry, University of Edinburgh, Edinburgh, UK.
Biol Imaging. 2023 Mar 27;3:e9. doi: 10.1017/S2633903X23000119. eCollection 2023.
An emergent volume electron microscopy technique called cryogenic serial plasma focused ion beam milling scanning electron microscopy (pFIB/SEM) can decipher complex biological structures by building a three-dimensional picture of biological samples at mesoscale resolution. This is achieved by collecting consecutive SEM images after successive rounds of FIB milling that expose a new surface after each milling step. Due to instrumental limitations, some image processing is necessary before 3D visualization and analysis of the data is possible. SEM images are affected by noise, drift, and charging effects, that can make precise 3D reconstruction of biological features difficult. This article presents Okapi-EM, an open-source napari plugin developed to process and analyze cryogenic serial pFIB/SEM images. Okapi-EM enables automated image registration of slices, evaluation of image quality metrics specific to pFIB-SEM imaging, and mitigation of charging artifacts. Implementation of Okapi-EM within the napari framework ensures that the tools are both user- and developer-friendly, through provision of a graphical user interface and access to Python programming.
一种名为低温连续等离子体聚焦离子束铣削扫描电子显微镜(pFIB/SEM)的新兴体积电子显微镜技术,可以通过构建中尺度分辨率的生物样本三维图像来解析复杂的生物结构。这是通过在连续几轮FIB铣削后收集连续的SEM图像来实现的,每次铣削步骤后都会暴露一个新的表面。由于仪器的限制,在对数据进行三维可视化和分析之前,需要进行一些图像处理。SEM图像会受到噪声、漂移和充电效应的影响,这可能会使生物特征的精确三维重建变得困难。本文介绍了Okapi-EM,这是一个为处理和分析低温连续pFIB/SEM图像而开发的开源napari插件。Okapi-EM能够实现切片的自动图像配准、评估特定于pFIB-SEM成像的图像质量指标以及减轻充电伪像。在napari框架内实现Okapi-EM,通过提供图形用户界面和Python编程访问,确保这些工具对用户和开发者都很友好。