AutoGDeterm: Automatic Geometry Determination for Electron Tomography
文献类型:期刊论文
作者 | Chen, Yu1,2; Wang, Zihao1,2; Li, Lun1,2; Zhang, Jingrong1,2; Wan, Xiaohua1; Sun, Fei3,4; Zhang, Fa1 |
刊名 | TSINGHUA SCIENCE AND TECHNOLOGY
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出版日期 | 2018-08-01 |
卷号 | 23期号:4页码:369-376 |
关键词 | electron tomography geometry determination human intervention full automation AutoGDeterm comparable accuracy |
ISSN号 | 1007-0214 |
DOI | 10.26599/TST.2018.9010036 |
英文摘要 | Electron Tomography (ET) is an important method for studying cell ultrastructure in three-dimensional (3D) space. By combining cryo-electron tomography of frozen-hydrated samples (cryo-ET) and a sub-tomogram averaging approach, ET has recently reached sub-nanometer resolution, thereby realizing the capability for gaining direct insights into function and mechanism. To obtain a high-resolution 3D ET reconstruction, alignment and geometry determination of the ET tilt series are necessary. However, typical methods for determining geometry require human intervention, which is not only subjective and easily introduces errors, but is also labor intensive for high-throughput tomographic reconstructions. To overcome these problems, we have developed an automatic geometry-determination method, called AutoGDeterm. By taking advantage of the high-contrast re-projections of the Iterative Compressed-sensing Optimized Non-Uniform Fast Fourier Transform (NUFFT) reconstruction (ICON) and a series of numerical analysis methods, AutoGDeterm achieves high-precision fully automated geometry determination. Experimental results on simulated and resin-embedded datasets show that the accuracy of AutoGDeterm is high and comparable to that of the typical "manual positioning" method. We have made AutoGDeterm available as software, which can be freely downloaded from our website http://ear.ict.ac.cn. |
资助项目 | National Natural Science Foundation of China[U1611263] ; National Natural Science Foundation of China[U1611261] ; National Natural Science Foundation of China[61232001] ; National Natural Science Foundation of China[61472397] ; National Natural Science Foundation of China[61502455] ; National Natural Science Foundation of China[61672493] ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB08030202] ; National Key Research and Development Program of China[2017YFA0504702] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000444513200001 |
出版者 | TSINGHUA UNIV PRESS |
源URL | [http://119.78.100.204/handle/2XEOYT63/4929] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Sun, Fei; Zhang, Fa |
作者单位 | 1.Chinese Acad Sci, ICT, High Performance Comp Res Ctr, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 3.Chinese Acad Sci, IBP, Ctr Biol Imaging, Beijing 100101, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Biomacromol, Natl Key Lab Biomacromol, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Yu,Wang, Zihao,Li, Lun,et al. AutoGDeterm: Automatic Geometry Determination for Electron Tomography[J]. TSINGHUA SCIENCE AND TECHNOLOGY,2018,23(4):369-376. |
APA | Chen, Yu.,Wang, Zihao.,Li, Lun.,Zhang, Jingrong.,Wan, Xiaohua.,...&Zhang, Fa.(2018).AutoGDeterm: Automatic Geometry Determination for Electron Tomography.TSINGHUA SCIENCE AND TECHNOLOGY,23(4),369-376. |
MLA | Chen, Yu,et al."AutoGDeterm: Automatic Geometry Determination for Electron Tomography".TSINGHUA SCIENCE AND TECHNOLOGY 23.4(2018):369-376. |
入库方式: OAI收割
来源:计算技术研究所
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