CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
ICON: 3D reconstruction with 'missing-information' restoration in biological electron tomography
Deng, Yuchen1,4; Chen, Yu2,4; Zhang, Yan1; Wang, Shengliu1,4; Zhang, Fa2; Sun, Fei1,3,4
2016-07-01
发表期刊JOURNAL OF STRUCTURAL BIOLOGY
ISSN1047-8477
卷号195期号:1页码:100-112
摘要Electron tomography (ET) plays an important role in revealing biological structures, ranging from macro molecular to subcellular scale. Due to limited tilt angles, ET reconstruction always suffers from the 'missing wedge' artifacts, thus severely weakens the further biological interpretation. In this work, we developed an algorithm called Iterative Compressed-sensing Optimized Non-uniform fast Fourier transform reconstruction (ICON) based on the theory of compressed-sensing and the assumption of sparsity of biological specimens. ICON can significantly restore the missing information in comparison with other reconstruction algorithms. More importantly, we used the leave-one-out method to verify the validity of restored information for both simulated and experimental data. The significant improvement in sub-tomogram averaging by ICON indicates its great potential in the future application of high resolution structural determination of macromolecules in situ. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
关键词Compressed sensing Electron tomography Missing wedge NUFFT Sub-tomogram averaging
DOI10.1016/j.jsb.2016.04.004
收录类别SCI
语种英语
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDB08030202] ; National Basic Research Program (973 Program) of Ministry of Science and Technology of China[2014CB910700] ; National Natural Science Foundation of China[61232001] ; National Natural Science Foundation of China[61502455] ; National Natural Science Foundation of China[61472397] ; National Natural Science Foundation of China[31470037] ; National Natural Science Foundation of China[31100617]
WOS研究方向Biochemistry & Molecular Biology ; Biophysics ; Cell Biology
WOS类目Biochemistry & Molecular Biology ; Biophysics ; Cell Biology
WOS记录号WOS:000377735300011
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计
被引频次:54[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/8361
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Fa; Sun, Fei
作者单位1.Chinese Acad Sci, Inst Biophys, Natl Key Lab Biomacromol, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Inst Biophys, Ctr Biol Imaging, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Deng, Yuchen,Chen, Yu,Zhang, Yan,et al. ICON: 3D reconstruction with 'missing-information' restoration in biological electron tomography[J]. JOURNAL OF STRUCTURAL BIOLOGY,2016,195(1):100-112.
APA Deng, Yuchen,Chen, Yu,Zhang, Yan,Wang, Shengliu,Zhang, Fa,&Sun, Fei.(2016).ICON: 3D reconstruction with 'missing-information' restoration in biological electron tomography.JOURNAL OF STRUCTURAL BIOLOGY,195(1),100-112.
MLA Deng, Yuchen,et al."ICON: 3D reconstruction with 'missing-information' restoration in biological electron tomography".JOURNAL OF STRUCTURAL BIOLOGY 195.1(2016):100-112.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Deng, Yuchen]的文章
[Chen, Yu]的文章
[Zhang, Yan]的文章
百度学术
百度学术中相似的文章
[Deng, Yuchen]的文章
[Chen, Yu]的文章
[Zhang, Yan]的文章
必应学术
必应学术中相似的文章
[Deng, Yuchen]的文章
[Chen, Yu]的文章
[Zhang, Yan]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。