Department of Chemistry and Biochemistry, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
Structural Image Analysis Unit, Department of Structural Biology and Chemistry, Institut Pasteur, Université Paris Cité, CNRS UMR 3528, 75724 Paris, France.
Int J Mol Sci. 2024 Jul 6;25(13):7442. doi: 10.3390/ijms25137442.
Gold nanoparticles with sizes in the range of 5-15 nm are a standard method of providing fiducial markers to assist with alignment during reconstruction in cryogenic electron tomography. However, due to their high electron density and resulting contrast when compared to standard cellular or biological samples, they introduce artifacts such as streaking in the reconstructed tomograms. Here, we demonstrate a tool that automatically detects these nanoparticles and suppresses them by replacing them with a local background as a post-processing step, providing a cleaner tomogram without removing any sample relevant information or introducing new artifacts or edge effects from uniform density replacements.
粒径在 5-15nm 范围内的金纳米颗粒是提供基准标记以协助在低温电子断层扫描的重建过程中进行对准的标准方法。然而，由于它们的高电子密度以及与标准细胞或生物样本相比产生的对比度，它们会在重建的断层图像中引入条纹等伪影。在这里，我们展示了一种工具，它可以自动检测这些纳米颗粒，并在重建后处理步骤中通过用局部背景替换它们来抑制这些纳米颗粒，从而提供更干净的断层图像，而不会删除任何与样本相关的信息，也不会引入新的伪影或均匀密度替换的边缘效应。
