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  Automatic particle picking and multi-class classification in cryo-electron tomograms

Chen, X., Chen, Y., Schuller, J. M., Navab, N., & Förster, F. (2014). Automatic particle picking and multi-class classification in cryo-electron tomograms. In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on. Vol. 1+2 (pp. 838-841). Piscataway, NJ: IEEE. doi:10.1109/ISBI.2014.6868001.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-2172-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-3AD4-0
Genre: Conference Paper

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 Creators:
Chen, Xuanli, Author
Chen, Yuxiang1, Author           
Schuller, Jan Michael1, Author           
Navab, Nassir, Author
Förster, Friedrich1, Author           
Affiliations:
1Förster, Friedrich / Modeling of Protein Complexes, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565148              

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 Abstract: Macromolecular structure determination using cryo-electron tomography requires large amount of subtomograms depicting the same molecule, which are averaged. In this paper, we propose a novel automatic particle picking and classification method for cryo-electron tomograms. The workflow comprises two stages: detection and classification. The detection method consists of a template-free picking procedure based on anisotropic diffusion filtering and connected component analysis. For classification, a novel 3D rotation invariant feature descriptor named Sphere Ring Haar and a hierarchical classification algorithm consisting of two machine learning models (DBSCAN and random forest) are proposed. The performance of our method is superior compared to template matching based methods and we achieved over 90% true positive rates for detection of proteasomes and ribosomes in experimental data.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
 Pages: 4
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/ISBI.2014.6868001
 Degree: -

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Title: 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI
Place of Event: Beijing
Start-/End Date: 2014-04-29 - 2014-05-02

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Title: Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on. Vol. 1+2
Source Genre: Proceedings
 Creator(s):
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: 2 Sequence Number: - Start / End Page: 838 - 841 Identifier: ISBN: 9781467319607