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Alignment of Tilt Series

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Cellular Imaging

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

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Abstract

Computing of three-dimensional reconstructions from images obtained by transmission electron tomography needs three main steps: data acquisition, projection alignment, and 3D reconstruction. In this chapter we will focus on the process of alignment moving from the justification of its need to the study of the different classical approaches (cross-correlation, use of added fiducial markers) that have been commonly used in this alignment process. We will also discuss the most recent algorithms (multiscale registration, invariant feature recognition) as they have been adapted to Electron Tomography and improved to increase the accuracy and resolution of the final tomograms.

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Author information

Authors and Affiliations

  1. INSERM U1196, Centre Universitaire, Bat. 112, 91405, Orsay Cedex, France

    A. Verguet

  2. CNRS UMR9187, Centre Universitaire, Bat. 112, 91405, Orsay Cedex, France

    C. Messaoudi

  3. Biocomputing Unit, National Center of Biotechnology (CSIC). C/Darwin, 3, Campus Universidad Autonoma (Cantoblanco), 28049, Madrid, Spain

    C. O. S. Sorzano

  4. Institut Curie, Centre de Recherche, Centre Universitaire, Bat. 112, 91405, Orsay Cedex, France

    S. Marco

Authors
  1. A. Verguet
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  2. C. Messaoudi
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  3. C. O. S. Sorzano
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  4. S. Marco
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Corresponding author

Correspondence to S. Marco .

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Editors and Affiliations

  1. Bio21 Institute Advanced Microscopy Facility, University of Melbourne, Melbourne, Victoria, Australia

    Eric Hanssen

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Verguet, A., Messaoudi, C., Sorzano, C.O.S., Marco, S. (2018). Alignment of Tilt Series. In: Hanssen, E. (eds) Cellular Imaging. Biological and Medical Physics, Biomedical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-68997-5_7

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