基于熵正则化的细胞冷冻电子断层扫描重构。
Entropy-regularized deconvolution of cellular cryotransmission electron tomograms.
机构信息
Section of Molecular Biology, Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093.
Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 760001, Israel.
出版信息
Proc Natl Acad Sci U S A. 2021 Dec 14;118(50). doi: 10.1073/pnas.2108738118.
Cryo-electron tomography (cryo-ET) allows for the high-resolution visualization of biological macromolecules. However, the technique is limited by a low signal-to-noise ratio (SNR) and variance in contrast at different frequencies, as well as reduced Z resolution. Here, we applied entropy-regularized deconvolution (ER-DC) to cryo-ET data generated from transmission electron microscopy (TEM) and reconstructed using weighted back projection (WBP). We applied deconvolution to several in situ cryo-ET datasets and assessed the results by Fourier analysis and subtomogram analysis (STA).
冷冻电子断层扫描（cryo-ET）可实现生物大分子的高分辨率可视化。然而，该技术受到低信噪比（SNR）和不同频率对比度变化的限制，以及 Z 分辨率降低的限制。在这里，我们将熵正则化反卷积（ER-DC）应用于透射电子显微镜（TEM）产生的 cryo-ET 数据，并使用加权反向投影（WBP）进行重建。我们将反卷积应用于几个原位 cryo-ET 数据集，并通过傅里叶分析和亚颗粒分析（STA）评估结果。
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