A marker-free automatic alignment method based on scale-invariant features
(In collaboration with Prof. Fa Zhang, Institute of Computation Technology, CAS)
In electron tomography, alignment accuracy is critical for high-resolution reconstruction. However, the automatic alignment of a tilt series without fiducial markers remains a challenge. Here, we propose a new alignment method based on Scale-Invariant Feature Transform (SIFT) for marker-free alignment. The method covers the detection and localization of interest points (features), feature matching, feature tracking and optimization of projection parameters. The proposed method implements a highly reliable matching strategy and tracking model to detect a huge number of feature tracks. Furthermore, an incremental bundle adjustment method is devised to tolerate noise data and ensure the accurate estimation of projection parameters. Our method was evaluated with a number of experimental data, and the results exhibit an improved alignment accuracy comparable with current fiducial marker alignment and subsequent higher resolution of tomography.
Reference:
Han R., Zhang F., Wan X., Fernandez J.J., Sun F. and Liu Z. (2014). A marker-free automatic alignment method based scale-invariant features. Journal of Structural Biology, 186 : 167-180. doi: 10.1016/j.jsb.2014.02.011. (The program AtomAlign can be downloaded from http://ear.ict.ac.cn/)
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Workshops
Workshops
International Workshop of 3D Molecular Imaging by Cryo-Electron Microscopy, Third K. H. Kuo Summer School of Electron Microscopy and Crystallography in 2010.
International Workshop of Advanced Image Processing of Cryo-Electron Microscopy, 2013
Get acquainted with Cryo-Electron Microscopy: First Chinese Workshop for Structural Biologists, 2015
International Workshop of Advanced Image Processing of Cryo-Electron Microscopy, 2015
Instutions
Instutions
Institute of Biophysics, Chinese Academy of Sciences
The Scripps Research Institute
Max Planck Institute of Biochemistry
Database
Database
National Center for Biotechnology Information(NCBI)
Protein Data Bank
The Electron Microscopy Data Bank
ExPASy Proteomics Server
Pfam
3D EM
3DEM
Tools and Softwars
Tools and Softwars
CCP4
CCP-EM
MOLE 2.0 (characterization of channels and pores in protein complex)
