• DocumentCode
    384297
  • Title

    On the alignment of transmission electron microscope images without fiducial markers

  • Author

    Brandt, Sami ; Heikkonen, Jukka ; Engelhardt, Peter

  • Author_Institution
    Lab. of Computational Eng., Helsinki Univ. of Technol., Finland
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    278
  • Abstract
    Accurate image alignment is needed for computing three-dimensional reconstructions from transmission electron microscope tilt series. So far, the best alignment results have been obtained by using colloidal gold beads as fiducial markers. If their use has not been possible for some reason, the only option has been the automatic 2D cross-correlation-based registration methods. However, since the actual motion is three dimensional, this approach is inaccurate and inappropriate for the whole problem. Conversely, we propose a novel method that uses the actual 3D motion model without any fiducial markers in the images. The method is based on matching and tracking corner features by first solving the underlying geometrical constraint of consecutive images in the tilt series. The results show that our method is competitive with the gold marker alignment in the level of accuracy and hence opens the way for new opportunities in the analysis of electron tomography reconstructions.
  • Keywords
    correlation theory; feature extraction; image matching; image reconstruction; image registration; stereo image processing; transmission electron microscopes; 2D cross correlation; 3D image reconstruction; 3D motion model; TEM image registering; colloidal gold beads; corner feature tracking; geometrical constraint; image matching; transmission electron microscope; Geometry; Gold; Head; Image converters; Image reconstruction; Laboratories; Maximum likelihood detection; Maximum likelihood estimation; Tomography; Transmission electron microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048294
  • Filename
    1048294