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Marker-free image registration of electron tomography tilt-series
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...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694187/ https://www.ncbi.nlm.nih.gov/pubmed/19397789 http://dx.doi.org/10.1186/1471-2105-10-124 |
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author | Sorzano, Carlos Oscar Sanchez Messaoudi, Cédric Eibauer, Matthias Bilbao-Castro, JR Hegerl, R Nickell, S Marco, S Carazo, JM |
author_facet | Sorzano, Carlos Oscar Sanchez Messaoudi, Cédric Eibauer, Matthias Bilbao-Castro, JR Hegerl, R Nickell, S Marco, S Carazo, JM |
author_sort | Sorzano, Carlos Oscar Sanchez |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2694187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26941872009-06-09 Marker-free image registration of electron tomography tilt-series Sorzano, Carlos Oscar Sanchez Messaoudi, Cédric Eibauer, Matthias Bilbao-Castro, JR Hegerl, R Nickell, S Marco, S Carazo, JM BMC Bioinformatics Methodology Article 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. BioMed Central 2009-04-27 /pmc/articles/PMC2694187/ /pubmed/19397789 http://dx.doi.org/10.1186/1471-2105-10-124 Text en Copyright © 2009 Sorzano et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Sorzano, Carlos Oscar Sanchez Messaoudi, Cédric Eibauer, Matthias Bilbao-Castro, JR Hegerl, R Nickell, S Marco, S Carazo, JM Marker-free image registration of electron tomography tilt-series |
title | Marker-free image registration of electron tomography tilt-series |
title_full | Marker-free image registration of electron tomography tilt-series |
title_fullStr | Marker-free image registration of electron tomography tilt-series |
title_full_unstemmed | Marker-free image registration of electron tomography tilt-series |
title_short | Marker-free image registration of electron tomography tilt-series |
title_sort | marker-free image registration of electron tomography tilt-series |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694187/ https://www.ncbi.nlm.nih.gov/pubmed/19397789 http://dx.doi.org/10.1186/1471-2105-10-124 |
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