Publication: Compensation of missing wedge effects with sequential statistical reconstruction in electron tomography
Issued Date
2014-10-01
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ISSN
19326203
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2-s2.0-84940615493
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Mahidol University
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SCOPUS
Bibliographic Citation
PLoS ONE. Vol.9, No.10 (2014)
Suggested Citation
Lassi Paavolainen, Erman Acar, Uygar Tuna, Sari Peltonen, Toshio Moriya, Pan Soonsawad, Varpu Marjomäki, R. Holland Cheng, Ulla Ruotsalainen Compensation of missing wedge effects with sequential statistical reconstruction in electron tomography. PLoS ONE. Vol.9, No.10 (2014). doi:10.1371/journal.pone.0108978 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/32980
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Title
Compensation of missing wedge effects with sequential statistical reconstruction in electron tomography
Abstract
© 2014 Paavolainen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Electron tomography (ET) of biological samples is used to study the organization and the structure of the whole cell and subcellular complexes in great detail. However, projections cannot be acquired over full tilt angle range with biological samples in electron microscopy. ET image reconstruction can be considered an ill-posed problem because of this missing information. This results in artifacts, seen as the loss of three-dimensional (3D) resolution in the reconstructed images. The goal of this study was to achieve isotropic resolution with a statistical reconstruction method, sequential maximum a posteriori expectation maximization (sMAP-EM), using no prior morphological knowledge about the specimen. The missing wedge effects on sMAP-EM were examined with a synthetic cell phantom to assess the effects of noise. An experimental dataset of a multivesicular body was evaluated with a number of gold particles. An ellipsoid fitting based method was developed to realize the quantitative measures elongation and contrast in an automated, objective, and reliable way. The method statistically evaluates the sub-volumes containing gold particles randomly located in various parts of the whole volume, thus giving information about the robustness of the volume reconstruction. The quantitative results were also compared with reconstructions made with widely-used weighted backprojection and simultaneous iterative reconstruction technique methods. The results showed that the proposed sMAP-EM method significantly suppresses the effects of the missing information producing isotropic resolution. Furthermore, this method improves the contrast ratio, enhancing the applicability of further automatic and semi-automatic analysis. These improvements in ET reconstruction by sMAP-EM enable analysis of subcellular structures with higher three-dimensional resolution and contrast than conventional methods.