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首页> 外文期刊>Journal of Parallel and Distributed Computing >Three-dimensional reconstruction of cellular structures by electron microscope tomography and parallel computing
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Three-dimensional reconstruction of cellular structures by electron microscope tomography and parallel computing

机译：电子显微镜断层成像和并行计算的细胞结构三维重建

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摘要

Electron microscope tomography has emerged as the leading technique for structure determination of cellular components with a resolution of a few nanometers, opening up exciting perspectives for visualizing the molecular architecture of the cytoplasm. This work describes and analyzes the parallelization of tomographic reconstruction algorithms for their application in electron microscope tomography of cellular structures. Efficient iterative algorithms that are characterized by a fast convergence rate have been used to tackle the image reconstruction problem. The use of smooth basis functions provides the reconstruction algorithms with an implicit regularization mechanism, very appropriate for highly noisy conditions such as those present in high-resolution electron tomographic studies. Parallel computing techniques have been applied so as to face the computational requirements demanded by the reconstruction of large volumes. An efficient domain decomposition scheme has been devised that leads to a parallel approach with capabilities of interprocessor communication latency hiding. The combination of efficient iterative algorithms and parallel computing techniques have proved to be well suited for the reconstruction of large biological specimens in electron tomography, yielding solutions in reasonable computational times. This work concludes that parallel computing will be the key to afford high-resolution structure determination of cells, so that the location of molecular signatures in their native cellular context can be made a reality.
机译：电子显微镜层析成像技术已经成为确定细胞成分结构的领先技术，其分辨率为几纳米，为可视化细胞质分子结构开辟了令人兴奋的视角。这项工作描述和分析层析重建算法在细胞结构的电子显微镜层析中的并行化。以快速收敛速度为特征的高效迭代算法已用于解决图像重建问题。平滑基函数的使用为重建算法提供了隐式正则化机制，非常适合于高噪声条件（例如高分辨率电子断层扫描研究中存在的条件）。已经应用了并行计算技术，以便应对大容量重建所要求的计算要求。已经设计出一种有效的域分解方案，该方案导致具有处理器间通信等待时间隐藏功能的并行方法。有效的迭代算法和并行计算技术的结合已被证明非常适合在电子断层扫描中重建大型生物样本，并在合理的计算时间内得出解决方案。这项工作得出结论，并行计算将成为提供高分辨率的细胞结构确定的关键，从而使分子标记在其天然细胞环境中的定位成为现实。

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