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An Extended Field-Based Method for Noise Removal From Electron Tomographic Reconstructions
https://oist.repo.nii.ac.jp/records/811
https://oist.repo.nii.ac.jp/records/8113fa9ee70-ec7a-4f7d-a891-4d2615bf7f69
名前 / ファイル | ライセンス | アクション |
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021409_1 (3.7 MB)
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OAPA License
(https://www.ieee.org/content/dam/ieee-org/ieee/web/org/pubs/oapa.pdf) |
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-03-11 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | An Extended Field-Based Method for Noise Removal From Electron Tomographic Reconstructions | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Mahmood, Faisal
× Mahmood, Faisal× Ofverstedt, Lars-Goran× Toots, Mart× Wilken, Gunnar× Skoglund, Ulf |
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書誌情報 |
en : IEEE Access 巻 6, p. 17326-17339, 発行日 2018-03-01 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Molecular structure determination is important for understanding functionalities and dynamics of macromolecules, such as proteins and nucleic acids. Cryo-electron tomography (ET) is a technique that can be used to determine the structures of individual macromolecules, thus providing the snapshots of their native conformations. Such 3-D reconstructions encounter several types of imperfections due to missing, corrupted, and low-contrast data. In this paper, we demonstrate that extending the reconstruction space, which increases the dimensionality of the linear system being solved during reconstruction, facilitates the separation of signal and noise. A considerable amount of the noise associated with collected projection data arises independently from the geometric constraint of image formation, whereas the solution to the reconstruction problem must satisfy such geometric constraints. Increasing the dimensionality thereby allows for a redistribution of such noise within the extended reconstruction space, while the geometrically constrained approximate solution stays in an effectively lower dimensional subspace. Employing various tomographic reconstruction methods with a regularization capability we performed extensive simulation and testing and observed that enhanced dimensionality significantly improves the accuracy of the reconstruction. Our results were validated with reconstructions of colloidal silica nanoparticles as well as P. falciparum erythrocyte membrane protein 1. Although the proposed method is used in the context of Cryo-ET, the method is general and can be extended to a variety of other tomographic modalities. | |||||
出版者 | ||||||
出版者 | IEEE | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2169-3536 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1109/ACCESS.2018.2810866 | |||||
権利 | ||||||
権利情報 | © 2018 IEEE. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://ieeexplore.ieee.org/document/8305469 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |