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在微电子衍射中使用能量过滤恢复高分辨率信息。

Recovering high-resolution information using energy filtering in MicroED.

作者信息

Clabbers Max T B, Gonen Tamir

出版信息

Struct Dyn. 2025 May 13;12(3):034702. doi: 10.1063/4.0000755. eCollection 2025 May.

DOI:10.1063/4.0000755
PMID:40370641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12077921/
Abstract

Inelastic scattering poses a significant challenge in electron crystallography by elevating background noise and broadening Bragg peaks, thereby reducing the overall signal-to-noise ratio. This is particularly detrimental to data quality in structural biology, as the diffraction signal is relatively weak. These effects are aggravated even further by the decay of the diffracted intensities as a result of accumulated radiation damage, and rapidly fading high-resolution information can disappear beneath the noise. Loss of high-resolution reflections can partly be mitigated using energy filtering, which removes inelastically scattered electrons and improves data quality and resolution. Here, we systematically compared unfiltered and energy-filtered microcrystal electron diffraction data from proteinase K crystals, first collecting an unfiltered dataset followed directly by a second sweep using the same settings but with the energy filter inserted. Our results show that energy filtering consistently reduces noise, sharpens Bragg peaks, and extends high-resolution information, even though the absorbed dose was doubled for the second pass. Importantly, our results demonstrate that high-resolution information can be recovered by inserting the energy filter slit. Energy-filtered datasets showed improved intensity statistics and better internal consistency, highlighting the effectiveness of energy filtering for improving data quality. These findings underscore its potential to overcome limitations in macromolecular electron crystallography, enabling higher-resolution structures with greater reliability.

摘要

非弹性散射在电子晶体学中构成了重大挑战,它会提高背景噪声并展宽布拉格峰,从而降低整体信噪比。这对结构生物学中的数据质量尤其不利,因为衍射信号相对较弱。由于累积的辐射损伤导致衍射强度衰减,这些影响会进一步加剧,快速衰减的高分辨率信息可能会消失在噪声之下。使用能量过滤可以部分缓解高分辨率反射的损失,能量过滤可以去除非弹性散射电子,提高数据质量和分辨率。在这里,我们系统地比较了蛋白酶K晶体的未过滤和能量过滤的微晶电子衍射数据,首先收集一个未过滤的数据集,然后直接使用相同设置进行第二次扫描,但插入了能量过滤器。我们的结果表明,即使第二次扫描时吸收剂量增加了一倍,能量过滤仍能持续降低噪声、锐化布拉格峰并扩展高分辨率信息。重要的是,我们的结果表明,通过插入能量过滤狭缝可以恢复高分辨率信息。能量过滤数据集显示出更好的强度统计和更高的内部一致性,突出了能量过滤对提高数据质量的有效性。这些发现强调了其克服大分子电子晶体学局限性的潜力,能够获得更高分辨率且可靠性更高的结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/4b29f7cada6b/SDTYAE-000012-034702_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/0163dbd5c81c/SDTYAE-000012-034702_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/6c3dbadb6f33/SDTYAE-000012-034702_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/4b29f7cada6b/SDTYAE-000012-034702_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/0163dbd5c81c/SDTYAE-000012-034702_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/6c3dbadb6f33/SDTYAE-000012-034702_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5884/12077921/4b29f7cada6b/SDTYAE-000012-034702_1-g003.jpg

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本文引用的文献

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Energy filtering enables macromolecular MicroED data at sub-atomic resolution.能量过滤可实现亚原子分辨率的大分子微电子衍射数据。
Nat Commun. 2025 Mar 6;16(1):2247. doi: 10.1038/s41467-025-57425-1.
2
Doses for X-ray and electron diffraction: New features in RADDOSE-3D including intensity decay models.X 射线和电子衍射剂量:RADDOSE-3D 中的新功能,包括强度衰减模型。
Protein Sci. 2024 Jul;33(7):e5005. doi: 10.1002/pro.5005.
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A robust approach for MicroED sample preparation of lipidic cubic phase embedded membrane protein crystals.
一种用于嵌入脂质立方相的膜蛋白晶体的 MicroED 样品制备的稳健方法。
Nat Commun. 2023 Feb 25;14(1):1086. doi: 10.1038/s41467-023-36733-4.
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Improving data quality for three-dimensional electron diffraction by a post-column energy filter and a new crystal tracking method.通过柱后能量过滤器和一种新的晶体跟踪方法提高三维电子衍射的数据质量。
J Appl Crystallogr. 2022 Nov 29;55(Pt 6):1583-1591. doi: 10.1107/S1600576722009633. eCollection 2022 Dec 1.
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