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Related Experiment Video

Updated: Sep 13, 2025

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
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Performance verification of the "ghost"-free tomographic reconstruction method QURT.

Norio Baba1, Hiroyuki Ishikawa2, Miki Ito3

  • 1School of Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo 192-0015, JAPAN.

Micron (Oxford, England : 1993)
|July 27, 2025
PubMed
Summary

The quantisation unit reconstruction technique (QURT) effectively minimizes ghosting artifacts in tomographic reconstruction, even with limited projection data. This novel method enhances image quality without requiring prior knowledge or parameter tuning.

Keywords:
Electron tomographyEnergy-dispersive X-ray spectroscopyExhaust-gas-purification catalystHigh-angle annular-dark-field scanning transmission electron microscopyReconstruction algorithm

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Area of Science:

  • Electron Microscopy
  • Materials Science
  • Image Reconstruction

Background:

  • Conventional tomographic reconstruction methods suffer from artifacts like ghost images due to the missing-wedge effect and require numerous projection images.
  • Advanced methods such as compressed sensing often necessitate parameter adjustments or prior knowledge, limiting their applicability.

Purpose of the Study:

  • To quantitatively evaluate the practical performance and resolution of the novel quantisation unit reconstruction technique (QURT).
  • To demonstrate QURT's effectiveness in reducing artifacts, particularly ghost images, in various tomographic applications.

Main Methods:

  • QURT reconstructs tomograms by discretely arranging grey-level quantisation units in 3D space.
  • Performance was assessed using Fourier ring correlation and other metrics in simulations with test patterns.
  • Experimental validation was performed using HAADF-STEM and EDXS tomography on a catalyst sample.

Main Results:

  • QURT generated minimal ghost images outside the test pattern region in simulations, significantly suppressing artifacts even with the missing-wedge.
  • Experimental application on a Pd/CeO2-ZrO2-Al2O3 catalyst sample clearly revealed pore structure without ghosting inside pores or loss of detail in low-contrast Al regions.
  • A 3D elemental map was successfully reconstructed using EDXS tomography with only 22 tilt series, despite missing-wedge data.

Conclusions:

  • QURT is a robust tomographic reconstruction method that overcomes limitations of conventional techniques by minimizing ghost images and reducing data requirements.
  • The technique offers high practical performance and resolution, validated in both simulations and experimental applications like HAADF-STEM and EDXS tomography.
  • QURT's ability to function without parameter tuning or prior knowledge makes it a versatile tool for advanced materials analysis.