A fully automatic geometric parameters determining method for electron tomography

Yu Chen, Zihao Wang, Lun Li, Xiaohua Wan, Fei Sun, Fa Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Electron tomography (ET) is a promising technique for investigating in situ three-dimensional (3D) structure of proteins and protein complexes. To obtain a high-resolution 3D ET reconstruction, alignment and geometric parameters determination of ET tilt series are necessary. However, the common geometric parameters determining methods depend on human intervention, which are not only fairly subjective and easily introduce errors but also labor intensive for high-throughput tomographic reconstructions. To overcome these problems, in this paper, we presented a fully automatic geometric parameters determining method. Taking advantage of the high-contrast reprojections of ICON and a series of image processing and edge recognition techniques, our method achieves a high-precision full automation for geometric parameters determining. Experimental results on the resin embedded dataset show that our method has a high accuracy comparable to the common ‘manual positioning’ method.

Original languageEnglish
Title of host publicationBioinformatics Research and Applications - 13th International Symposium, ISBRA 2017, Proceedings
EditorsZhipeng Cai, Ovidiu Daescu, Min Li
PublisherSpringer Verlag
Pages385-389
Number of pages5
ISBN (Print)9783319595740
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017 - Honolulu, United States
Duration: 29 May 20172 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10330 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017
Country/TerritoryUnited States
CityHonolulu
Period29/05/172/06/17

Keywords

  • Comparable accuracy
  • Electron tomography
  • Full automation
  • Geometric parameters determination
  • Human intervention

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