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February 14, 2026Small Methods0 citationsOpen Access

Quantifying the Full Damage Profile of Focused Ion Beams via 4D‐STEM Precession Electron Diffraction and PSNR Metrics

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MMMateus G. MasteghinZAZabeada AslamABAlan Brown

Key Points

  • The research aims to fully characterize the damage profile of focused ion beams by assessing the ion-matter interaction beyond conventional metrics.
  • Utilized four-dimensional scanning transmission electron microscopy (4D-STEM) for analysis.
  • Collected convergent beam electron diffraction (CBED) patterns in calibrated regions with known ion fluence.
  • Measured ion-induced damage around dwell spots after exposure to a 30 keV beam for 1-10 seconds.
  • Applied cross-correlation using peak signal-to-noise ratio (PSNR) to evaluate datasets.
  • 4D-STEM effectively resolved the ion beam tail, especially at low defect densities.
  • The analysis revealed a more comprehensive mapping of ion-induced damage compared to traditional methods.
  • 4D-STEM datasets showed ultra-sensitivity for defect quantification and resilience to scanning artifacts.

Abstract

ABSTRACT Focused ion beams (FIBs) are used in applications such as circuit repair, ultra‐thin lamella preparation, strain engineering, and quantum device prototyping. Although the lateral spread of the probe is overlooked, it becomes critical in precision tasks such as impurity placement in host substrates, where accurate knowledge of the ion‐matter interaction profile is essential. Existing techniques characterize only the beam core, where most ions land, thus underestimating the full extent of the point spread function (PSF). In this work, we use four‐dimensional scanning transmission electron microscopy (4D‐STEM) to resolve the ion beam tail at defect densities equivalent to 0.1 ions . Convergent beam electron diffraction (CBED) patterns were collected in calibration regions with known ion fluence and compared to patterns acquired around static dwell spots exposed to a 30 keV beam for 1–10 s. Cross‐correlation using peak signal‐to‐noise ratio (PSNR) revealed that 4D‐STEM datasets are ultra‐sensitive for defect quantification and more robust against scanning artifacts than conventional dark‐field imaging. By extending beyond conventional core‐focused resolution metrics, this approach enables comprehensive mapping of ion‐induced damage—notably at ultra‐low doses—providing a more accurate picture of FIB performance for application‐specific optimization.

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Cite This Study

Masteghin et al. (2026) studied this question.

synapsesocial.com/papers/699010f22ccff479cfe5742bhttps://doi.org/10.1002/smtd.202502258
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