Correction of Missing-Wedge Artifacts in Filamentous Tomograms by Template-Based Constrained Deconvolution.,Journal of Chemical Information and Modeling

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Correction of Missing-Wedge Artifacts in Filamentous Tomograms by Template-Based Constrained Deconvolution.
Journal of Chemical Information and Modeling ( IF 5.6 ) Pub Date : 2020-02-11 , DOI: 10.1021/acs.jcim.9b01111
Julio Kovacs ₁ , Junha Song ₂ , Manfred Auer ₂ , Jing He ₃ , Wade Hunter ₁ , Willy Wriggers ₁

Affiliation

Cryo-electron tomography maps often exhibit considerable noise and anisotropic resolution, due to the low-dose requirements and the missing wedge in Fourier space. These spurious features are visually unappealing and, more importantly, prevent an automated segmentation of geometric shapes, requiring a subjective and labor-intensive manual tracing. We developed a novel computational strategy for objectively denoising and correcting missing-wedge artifacts in homogeneous specimen areas of tomograms, where it is assumed that a template repeats itself across the volume under consideration, as happens in the case of filaments. In our deconvolution approach, we use a template and a map of corresponding template locations, allowing us to compensate for the information lost in the missing wedge. We applied the method to tomograms of actin-filament bundles of inner-ear stereocilia, which are critical for the senses of hearing and balance. In addition, we demonstrate that our method can be used for cell membrane detection.

中文翻译：

通过基于模板的约束反卷积校正丝状断层图中的楔形伪影。

由于低剂量要求和傅立叶空间中缺少的楔形，低温电子断层扫描图通常表现出相当大的噪声和各向异性分辨率。这些伪造的特征在视觉上不那么吸引人，更重要的是，它们阻止了几何形状的自动分割，这需要主观且费力的手动跟踪。我们开发了一种新颖的计算策略，用于对断层图的均匀样本区域中的楔形伪像进行客观去噪和校正，其中假设模板在考虑的体积中重复出现，就像在细丝情况下一样。在我们的反卷积方法中，我们使用模板和对应模板位置的地图，从而使我们能够补偿丢失的楔形中丢失的信息。我们将该方法应用于内耳立体纤毛的肌动蛋白丝束的断层扫描，这对听觉和平衡感至关重要。此外，我们证明了我们的方法可用于细胞膜检测。

更新日期：2020-02-11

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