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FIRT: Filtered iterative reconstruction technique with information restoration

文献类型：期刊论文

作者Chen, Yu1,3; Zhang, Yan2; Zhang, Kai2,3; Deng, Yuchen2,3; Wang, Shengliu2,3; Zhang, Fa1; Sun, Fei2,3,4
刊名JOURNAL OF STRUCTURAL BIOLOGY
出版日期2016-07-01
卷号195期号:1页码:49-61
关键词Algebra reconstruction technique Electron tomography Filtered iterative reconstruction technique Information restoration Nonlinear diffusion filter
ISSN号1047-8477
DOI10.1016/j.jsb.2016.04.015
英文摘要Electron tomography (ET) combining subsequent sub-volume averaging has been becoming a unique way to study the in situ 3D structures of macromolecular complexes. However, information missing in electron tomography due to limited angular sampling is still the bottleneck in high-resolution electron tomography application. Here, based on the understanding of smooth nature of biological specimen, we present a new iterative image reconstruction algorithm, FIRT (filtered iterative reconstruction technique) for electron tomography by combining the algebra reconstruction technique (ART) and the nonlinear diffusion (ND) filter technique. Using both simulated and experimental data, in comparison to ART and weight back projection method, we proved that FIRT could generate a better reconstruction with reduced ray artifacts and significant improved correlation with the ground truth and partially restore the information at the non-sampled angular region, which was proved by investigating the 900 re-projection and by the cross-validation method. This new algorithm will be subsequently useful in the future for both cellular and molecular ET with better quality and improved structural details. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
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[61472397] ; National Natural Science Foundation of China[61502455] ; 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
语种英语
WOS记录号WOS:000377735300006
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
源URL[http://119.78.100.204/handle/2XEOYT63/8366]  
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, Kai; Zhang, Fa; Sun, Fei
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Biophys, Natl Lab Biomacromol, 15 Datun Rd, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Biophys, Ctr Biol Imaging, 15 Datun Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Yu,Zhang, Yan,Zhang, Kai,et al. FIRT: Filtered iterative reconstruction technique with information restoration[J]. JOURNAL OF STRUCTURAL BIOLOGY,2016,195(1):49-61.
APA Chen, Yu.,Zhang, Yan.,Zhang, Kai.,Deng, Yuchen.,Wang, Shengliu.,...&Sun, Fei.(2016).FIRT: Filtered iterative reconstruction technique with information restoration.JOURNAL OF STRUCTURAL BIOLOGY,195(1),49-61.
MLA Chen, Yu,et al."FIRT: Filtered iterative reconstruction technique with information restoration".JOURNAL OF STRUCTURAL BIOLOGY 195.1(2016):49-61.

入库方式： OAI收割

来源：计算技术研究所

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