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
Link To Document