An Algorithm for Enhancing the Image Contrast of Electron Tomography.
An Algorithm for Enhancing the Image Contrast of Electron Tomography.
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一种增强电子断层扫描图像对比度的算法
DOI：
10.1038/s41598-018-34652-9
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发表时间：
2018-11-12
影响因子：
4.6
通讯作者：
Ren G
中科院分区：
文献类型：
--
作者：
Wu H;Zhai X;Lei D;Liu J;Yu Y;Bie R;Ren G
单个蛋白质分子的三维重建对于理解蛋白质的结构动力学和功能之间的关系至关重要。电子断层扫描（ET）提供了从一系列倾斜角度对单个蛋白质颗粒进行成像的工具。单个粒子电子断层扫描（IPET）提供了一种从单个目标蛋白质粒子重建三维密度图的方法（不需要从这种蛋白质的不同粒子中取平均值），其中目标粒子从一系列倾斜角度成像。然而，由于辐射损伤的限制，低剂量图像（高噪声和低图像对比度）通常难以在中等分辨率（1-3纳米）下对齐进行3D重建。在这里，我们提出了一种计算方法来增强图像对比度，而不增加任何实验剂量，用于IPET三维重建。该方法采用一种基于边缘保持平滑的多尺度图像分解算法，能够在高噪声背景下检测出目标，在不增加噪声水平或显著降低图像分辨率的情况下增强目标图像的对比度。通过阴性染色（NS） ET和冷冻ET图像验证了该方法。小分子（<100 kDa）的成功三维重建表明，该方法可以作为现有ET三维重建方法的辅助工具，通过确定同一类型蛋白质的每个单个颗粒的结构来研究蛋白质动力学。
Three-dimensional (3D) reconstruction of a single protein molecule is essential for understanding the relationship between the structural dynamics and functions of the protein. Electron tomography (ET) provides a tool for imaging an individual particle of protein from a series of tilted angles. Individual-particle electron tomography (IPET) provides an approach for reconstructing a 3D density map from a single targeted protein particle (without averaging from different particles of this type of protein), in which the target particle was imaged from a series of tilting angles. However, owing to radiation damage limitations, low-dose images (high noise, and low image contrast) are often challenging to be aligned for 3D reconstruction at intermediate resolution (1–3 nm). Here, we propose a computational method to enhance the image contrast, without increasing any experimental dose, for IPET 3D reconstruction. Using an edge-preserving smoothing-based multi-scale image decomposition algorithm, this method can detect the object against a high-noise background and enhance the object image contrast without increasing the noise level or significantly decreasing the image resolution. The method was validated by using both negative staining (NS) ET and cryo-ET images. The successful 3D reconstruction of a small molecule (<100 kDa) indicated that this method can be used as a supporting tool to current ET 3D reconstruction methods for studying protein dynamics via structure determination from each individual particle of the same type of protein.
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影响因子：
16.6
作者：
Irobalieva RN;Fogg JM;Catanese DJ Jr;Sutthibutpong T;Chen M;Barker AK;Ludtke SJ;Harris SA;Schmid MF;Chiu W;Zechiedrich L
通讯作者：
Zechiedrich L
影响因子：
64.8
作者：
Hollenstein, Kaspar;Frei, Dominik C.;Locher, Kaspar P.
通讯作者：
Locher, Kaspar P.
影响因子：
2.2
作者：
Fernandez, J. J.;Li, S.;Crowther, R. A.
通讯作者：
Crowther, R. A.
影响因子：
3
作者：
Kremer, JR;Mastronarde, DN;McIntosh, JR
通讯作者：
McIntosh, JR
影响因子：
4
作者：
Levine, ZH
通讯作者：
Levine, ZH