Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automatic TEM image alignment by trifocal geometry.

S S Brandt1, U Ziese

  • 1Laboratory of Computational Engineering, Helsinki University of Technology, PO Box 9203, FI-02015 TKK, Finland. sami.brandt@tkk.fi

Journal of Microscopy
|June 1, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Influence of charged surfaces on the morphology of DNA condensed with multivalent ions.

Biopolymers·2007
Same author

Endosomal compartmentalization in three dimensions: implications for membrane fusion.

Proceedings of the National Academy of Sciences of the United States of America·2003
Same author

Correction of autofocusing errors due to specimen tilt for automated electron tomography.

Journal of microscopy·2003
Same author

Three-dimensional reconstructions of extracellular matrix polymers using automated electron tomography.

Journal of structural biology·2002
Same author

Automated high-throughput electron tomography by pre-calibration of image shifts.

Journal of microscopy·2002
Same author

Corneal collagen fibril structure in three dimensions: Structural insights into fibril assembly, mechanical properties, and tissue organization.

Proceedings of the National Academy of Sciences of the United States of America·2001
Same journal

In operando imaging of the space-charge region in a 4H-SiC MOSCAP using STEM-EBIC.

Journal of microscopy·2026
Same journal

The future of DXA: How AI is transforming bone health diagnostics.

Journal of microscopy·2026
Same journal

The Origins of Ploem's Filter Cube: A Pandora's Box.

Journal of microscopy·2026
Same journal

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study.

Journal of microscopy·2026
Same journal

Assessing the reproducibility of a bioimage analysis workflow characterising tissue flow in Drosophila.

Journal of microscopy·2026
Same journal

Modular training resources for bioimage analysis.

Journal of microscopy·2026
See all related articles

A new trifocal alignment method offers accurate, markerless alignment for electron tomography images. This feature-based approach achieves accuracy comparable to traditional marker methods in biological and material science samples.

Area of Science:

  • Microscopy
  • Image Analysis
  • Computational Science

Background:

  • Accurate image alignment is crucial for high-resolution 3D reconstruction in electron tomography.
  • Existing markerless alignment methods lack the precision required for demanding applications.
  • Fiducial marker-based alignment, while accurate, can be time-consuming and may introduce artifacts.

Purpose of the Study:

  • To develop a novel, automatic, markerless, feature-based alignment method for Transmission Electron Microscopy (TEM) images.
  • To enhance the accuracy and robustness of image alignment in electron tomography.
  • To provide a viable alternative to fiducial marker-based alignment.

Main Methods:

  • Development of a multi-resolution algorithm for reliable feature point matching between TEM images.

Related Experiment Videos

  • Implementation of a robust maximum-likelihood estimator utilizing the trifocal constraint for validating feature matches.
  • Creation of a large-scale optimization framework to compute alignment parameters from extensive feature point data.

    • Main Results:

    • The proposed trifocal alignment method demonstrates higher accuracy than previous markerless techniques.
    • Experimental validation on electron tomography tilt series (40-150 images) of diverse samples confirmed the method's efficacy.
    • The approach successfully compensates for point localization errors by leveraging a large number of measurements.

    Conclusions:

    • The novel trifocal alignment method achieves accuracy comparable to fiducial marker alignment in electron tomography.
    • This markerless, feature-based approach offers a significant advancement for TEM image analysis.
    • The method is suitable for a wide range of biological and material sciences applications requiring precise 3D reconstruction.