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. 2017 Jun 16;7:3691. doi: 10.1038/s41598-017-04020-0

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Convergence of Faproma algorithm. (a) Comparison of the normalized mean-square error and iteration times among various 3D tomography datasets. The inserted images show the resulted reconstruction quality with different registration iteration times using Faproma second correction process (see Supplementary Movie S5). (b) Three-dimensional Fourier shell correlation among different iteration times by the second correction process of Faproma. CP: correction process. Scale bar is 1 μm.