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Compressive multi-beam scanning transmission electron microscopy.

Akira Yasuhara1, Takumi Sannomiya2, Ryoichi Horisaki3

  • 1JEOL Ltd., 3-1-2 Musashino, Akishima, Tokyo 196-8558, Japan.

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|March 21, 2026
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Summary
This summary is machine-generated.

This study introduces multi-beam scanning transmission electron microscopy (STEM) with compressive sensing. It achieves super-resolution image reconstruction from down-sampled data, accelerating imaging techniques.

Keywords:
Beam shapingCompressive sensingMulti-beamScanning transmission electron microscopy

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Area of Science:

  • Materials Science
  • Microscopy
  • Image Processing

Background:

  • Scanning transmission electron microscopy (STEM) is crucial for materials analysis.
  • Conventional STEM imaging can be time-consuming, limiting throughput.
  • Super-resolution techniques are needed to enhance detail and speed.

Purpose of the Study:

  • To develop a faster STEM imaging method using multi-beam probes and compressive sensing.
  • To achieve high-fidelity image reconstruction from down-sampled data.
  • To explore potential acceleration of analytical scanning methods.

Main Methods:

  • Utilized a custom condenser aperture to generate a six-beam STEM probe.
  • Employed defocus to tune beam shape and distribution.
  • Applied compressive sensing framework with Adam optimization and total variation normalization for image reconstruction.

Main Results:

  • Successfully reconstructed high-fidelity STEM images from down-sampled data.
  • Demonstrated that the reconstructed images closely reproduce original sample structures.
  • Showcased the effectiveness of multi-beam sparse sampling and computational reconstruction.

Conclusions:

  • The proposed multi-beam STEM approach significantly accelerates imaging acquisition.
  • This method enables super-resolution reconstruction, preserving sample details.
  • Offers a promising pathway for advancing analytical scanning microscopy techniques.