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Atomic-resolution STEM image denoising by total variation regularization.

Kazuaki Kawahara1, Ryo Ishikawa1, Shun Sasano1

  • 1Institute of Engineering Innovation, The University of Tokyo, Bunkyo, Tokyo 113-8656, Japan.

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Summary
This summary is machine-generated.

Total variation denoising enhances atomic-resolution scanning transmission electron microscopy (STEM) images of beam-sensitive materials. This method effectively removes quantum noise, enabling clearer visualization of atomic columns and precise structural analysis.

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atomic resolution STEMcalcium fluoridedenoisingtotal variation regularization

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Area of Science:

  • Materials Science
  • Physics
  • Chemistry

Background:

  • Atomic-resolution imaging is crucial for understanding solid-state materials.
  • Scanning transmission electron microscopy (STEM) allows direct observation of atoms.
  • Electron beam damage necessitates low-dose imaging, often resulting in noisy data.

Purpose of the Study:

  • To develop a denoising algorithm for low-dose STEM images.
  • To improve the precision of structural analysis in beam-sensitive materials.
  • To effectively remove quantum noise from atomic-resolution STEM data.

Main Methods:

  • Proposed a total variation (TV) denoising algorithm.
  • Defined image entropy to determine the optimal hyperparameter for TV denoising.
  • Applied the TV denoising algorithm to an atomic-resolution STEM image of CaF2.

Main Results:

  • Successfully removed quantum noise from the STEM image.
  • Clearly visualized the atomic columns of Calcium (Ca) and Fluorine (F).
  • Determined atomic positions with high accuracy (±1 pm for Ca, ±4 pm for F).

Conclusions:

  • TV denoising is effective for enhancing low-dose STEM images.
  • The proposed method enables precise atomic-level structural analysis.
  • This technique is valuable for studying beam-sensitive materials.