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Proceedings Paper

Automatic alignment of electron tomography images using markers
Author(s): Sami Sebastian Brandt; Jukka Heikkonen
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Paper Abstract

Electron tomography means reconstructing the interior of an object from its electron microscope images. In order to successfully perform the 3D reconstruction, the motion between consecutive images must be solve, i.e., the images have to be aligned or registered. Using a set of two- dimensional electron microscope images of a three- dimensional object, we propose a method where the registration is automated using small colloidal gold particles as reference markers between images. The alignment problem is divided into several subproblems: (1) Finding initial matches from successive images, (2) estimating the epipolar geometry between images, (3) finding and localizing the gold particles with subpixel accuracy in each image, (4) predicting the probably matching gold particles using the epipolar geometry with the disparity information, (5) matching and tracking the gold particles through the tilt series, and (6) optimizing the transformation parameters for the whole image set. The results show the reliability of the suggested method as well as high accuracy in registration.

Paper Details

Date Published: 11 October 2000
PDF: 11 pages
Proc. SPIE 4197, Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, (11 October 2000); doi: 10.1117/12.403773
Show Author Affiliations
Sami Sebastian Brandt, Helsinki Univ. of Technology (Finland)
Jukka Heikkonen, Helsinki Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 4197:
Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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