Difference between revisions of "2009Sorzano alignment"

Latest revision as of 09:36, 11 June 2009

Citation

Sorzano, C. O. S.; Messaoudi, C.; Eibauer, M.; Bilbao-Castro, J. R.; Hegerl, R.; Nickell, S.; Marco, S. & Carazo, J. M. Marker-free image registration of electron tomography tilt-series BMC Bioinformatics, 2009, 10, 124

Abstract

Background: Tilt series are commonly used in electron tomography as a means of collecting three-dimensional information from two-dimensional projections. A common problem encountered is the projection alignment prior to 3D reconstruction. Current alignment techniques usually employ gold particles or image derived markers to correctly align the images. When these markers are not present, correlation between adjacent views is used to align them. However, sequential pairwise correlation is prone to bias and the resulting alignment is not always optimal.

Results: In this paper we introduce an algorithm to find regions of the tilt series which can be tracked within a subseries of the tilt series. These regions act as landmarks allowing the determination of the alignment parameters. We show our results with synthetic data as well as experimental cryo electron tomography.

Conclusion: Our algorithm is able to correctly align a single-tilt tomographic series without the help of fiducial markers thanks to the detection of thousands of small image patches that can be tracked over a short number of images in the series.

Keywords

Automatic alignment, X-ray tomography, Electron Tomography

Links

Article http://www.biomedcentral.com/content/pdf/1471-2105-10-124.pdf

Related software

Xmipp http://xmipp.cnb.csic.es/twiki/bin/view/Xmipp/Angular_assign_for_tilt_series

TomoJ http://u759.curie.u-psud.fr/softwaresu759.html

Related methods

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