title: ICON: 3D reconstruction with 'missing-information' restoration in biological electron tomography.
abstract: Electron tomography (ET) plays an important role in revealing biological structures, ranging from macromolecular 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.
authors.affiliation: National Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China.
authors.forename: Yuchen
authors.initials: Y
authors.lastname: Deng
authors.affiliation: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Chen
authors.affiliation: National Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: National Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China.
authors.forename: Shengliu
authors.initials: S
authors.lastname: Wang
authors.affiliation: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China. Electronic address: zhangfa@ict.ac.cn.
authors.forename: Fa
authors.initials: F
authors.lastname: Zhang
authors.affiliation: National Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Center for Biological Imaging, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China. Electronic address: feisun@ibp.ac.cn.
authors.forename: Fei
authors.initials: F
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D055032:Electron Microscope Tomography / Q000379:methods*; D005583:Fourier Analysis; D006624:Hippocampus / Q000166:cytology; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D046911:Macromolecular Substances / Q000737:chemistry*; D009474:Neurons / Q000737:chemistry; D051381:Rats; D012270:Ribosomes / Q000737:chemistry
chemical_list: D046911:Macromolecular Substances
keywords: Compressed sensing; Electron tomography; Missing wedge; NUFFT; Sub-tomogram averaging