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Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Registration-based method for correcting nonlinear drift and random jitter in STEM imaging and spectroscopic mapping.

Min-Chul Kang1, Juhong Park1, Cheol-Woong Yang1

  • 1School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon 16419, South Korea.

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Summary

This study introduces a new method to correct scanning drift in Scanning Transmission Electron Microscopy (STEM) images, improving atomic-scale analysis accuracy for both structural and spectroscopic data.

Keywords:
Drift correctionEDS mappingNon-rigid registrationScanning transmission electron microscopySpectroscopy

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Area of Science:

  • Materials Science
  • Microscopy Techniques
  • Data Analysis

Background:

  • Scanning Transmission Electron Microscopy (STEM) images often contain spatial distortions due to nonlinear drift and jitter.
  • These distortions compromise spatial accuracy, hindering reliable atomic-scale analysis.
  • Existing methods may require complex multi-directional acquisitions.

Purpose of the Study:

  • To develop and validate a registration-based method for correcting scanning drift in STEM images.
  • To enhance the accuracy of atomic-scale structural and spectroscopic analysis.
  • To provide a broadly applicable solution for improving STEM image quality.

Main Methods:

  • A registration-based approach utilizing lattice averaging for periodic structures to create high signal-to-noise ratio (SNR) reference images.
  • Multi-frame registration for generating reference images from multiple acquisitions with the same scan direction.
  • Iterative line-by-line offset correction along the slow-scanning direction based on high-SNR references.

Main Results:

  • Significant improvement in STEM image quality, evidenced by reduced streaking artifacts in Fast Fourier Transforms (FFT) and improved atomic column alignment.
  • Successful extension of the correction method to atomic-resolution energy-dispersive X-ray spectroscopy (EDS) mapping, correcting drift-induced distortions in low-SNR elemental maps.
  • Demonstrated mitigation of scanning drift without the need for multi-directional acquisitions.

Conclusions:

  • The developed registration-based method effectively corrects scanning drift in STEM images.
  • The technique is broadly applicable to both structural and spectroscopic STEM data, enhancing analytical reliability.
  • This approach offers a valuable tool for improving the quality and accuracy of nanoscale imaging and analysis.