A parallel scheme for three-dimensional reconstruction in large-field electron tomography

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Abstract

Large-field high-resolution electron tomography enables visualizing detailed mechanisms under global structure. As field enlarges, the processing time increases and the distortions in reconstruction become more critical. Adopting a nonlinear projection model instead of a linear one can compensate for curvilinear trajectories, nonlinear electron optics and sample warping. But the processing time for the reconstruction with nonlinear projection model is rather considerable. In this work, we propose a new parallel strategy for block iterative reconstruction algorithms. We also adopt a page-based data transfer in this strategy so as to dramatically reduce the processing time for data transfer and communication. We have tested this parallel strategy and it can yield speedups of approximate 40 times according to our experimental results. © 2014 Springer International Publishing Switzerland.

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Zhang, J., Wan, X., Zhang, F., Ren, F., Wang, X., & Liu, Z. (2014). A parallel scheme for three-dimensional reconstruction in large-field electron tomography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8492 LNBI, pp. 102–113). Springer Verlag. https://doi.org/10.1007/978-3-319-08171-7_10

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