AuTom: a novel automatic platform for electron tomography reconstruction
dc.contributor.author | Han, Renmin | |
dc.contributor.author | Wan, Xiaohua | |
dc.contributor.author | Wang, Zihao | |
dc.contributor.author | Hao, Yu | |
dc.contributor.author | Zhang, Jingrong | |
dc.contributor.author | Chen, Yu | |
dc.contributor.author | Gao, Xin | |
dc.contributor.author | Liu, Zhiyong | |
dc.contributor.author | Ren, Fei | |
dc.contributor.author | Sun, Fei | |
dc.contributor.author | Zhang, Fa | |
dc.date.accessioned | 2017-07-27T11:21:47Z | |
dc.date.available | 2017-07-27T11:21:47Z | |
dc.date.issued | 2017-07-26 | |
dc.identifier.citation | Han R, Wan X, Wang Z, Hao Y, Zhang J, et al. (2017) AuTom: a novel automatic platform for electron tomography reconstruction. Journal of Structural Biology. Available: http://dx.doi.org/10.1016/j.jsb.2017.07.008. | |
dc.identifier.issn | 1047-8477 | |
dc.identifier.pmid | 28756247 | |
dc.identifier.doi | 10.1016/j.jsb.2017.07.008 | |
dc.identifier.uri | http://hdl.handle.net/10754/625269 | |
dc.description.abstract | We have developed a software package towards automatic electron tomography (ET): Automatic Tomography (AuTom). The presented package has the following characteristics: accurate alignment modules for marker-free datasets containing substantial biological structures; fully automatic alignment modules for datasets with fiducial markers; wide coverage of reconstruction methods including a new iterative method based on the compressed-sensing theory that suppresses the “missing wedge” effect; and multi-platform acceleration solutions that support faster iterative algebraic reconstruction. AuTom aims to achieve fully automatic alignment and reconstruction for electron tomography and has already been successful for a variety of datasets. AuTom also offers user-friendly interface and auxiliary designs for file management and workflow management, in which fiducial marker-based datasets and marker-free datasets are addressed with totally different subprocesses. With all of these features, AuTom can serve as a convenient and effective tool for processing in electron tomography. | |
dc.description.sponsorship | Thanks Jose-Jesus Fernandez for opening the CTF module to us. Thanks Ce Liu and Shuangbo Zhang for the works to improve the quality of AuTom. This work was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No.XDB08030202), the National Natural Science Foundation of China (Grant No. 61232001, 61232991, 61472397, 61502455, 61672493, U1611263, U1611261), the National Key Research and Development Program of China2017YFA0504702), the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Awards No. URF/1/1976-04, URF/1/2602-01, and URF/1/3007-01, Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase), and the National Basic Research Program (973 Program) of Ministry of Science and Technology of China (2014CB910700). | |
dc.publisher | Elsevier BV | |
dc.relation.url | http://www.sciencedirect.com/science/article/pii/S1047847717301284 | |
dc.rights | NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Structural Biology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Structural Biology, [, , (2017-07-26)] DOI: 10.1016/j.jsb.2017.07.008 . © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Electron tomography | |
dc.subject | Alignment | |
dc.subject | Reconstruction | |
dc.subject | Image processing workflow | |
dc.title | AuTom: a novel automatic platform for electron tomography reconstruction | |
dc.type | Article | |
dc.contributor.department | Computational Bioscience Research Center (CBRC) | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.identifier.journal | Journal of Structural Biology | |
dc.eprint.version | Post-print | |
dc.contributor.institution | Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China | |
dc.contributor.institution | University of Chinese Academy of Sciences, Beijing, China | |
dc.contributor.institution | State Key Lab for Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China | |
dc.contributor.institution | Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing 100101, China | |
dc.contributor.institution | National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing 100101, China | |
kaust.person | Han, Renmin | |
kaust.person | Gao, Xin | |
refterms.dateFOA | 2018-07-26T00:00:00Z | |
dc.date.published-online | 2017-07-26 | |
dc.date.published-print | 2017-09 |
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