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Dose-efficient phase-contrast imaging of thick weak phase objects via OBF STEM using a pixelated detector.

Kousuke Ooe1,2, Takehito Seki1,3, Mitsuru Nogami1

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Optimum bright-field scanning transmission electron microscopy (OBF STEM) with pixelated detectors enhances imaging efficiency. This low-dose technique improves dose efficiency compared to conventional methods.

Keywords:
Low-dose imagingOBF STEMPixelated detector

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Area of Science:

  • Materials Science
  • Microscopy Techniques
  • Electron Optics

Background:

  • Optimum bright-field scanning transmission electron microscopy (OBF STEM) is an advanced low-dose imaging method.
  • Conventional STEM techniques like annular bright field (ABF) have limitations in imaging efficiency.
  • Previous work showed segmented detectors improve OBF STEM efficiency, suggesting further gains with pixelated detectors.

Purpose of the Study:

  • To investigate the imaging characteristics of OBF STEM using a pixelated detector.
  • To compare the performance of pixelated OBF STEM with single side band (SSB) ptychography.
  • To evaluate the dose efficiency improvements offered by the pixelated OBF technique.

Main Methods:

  • Utilized a pixelated detector for the OBF STEM technique.
  • Employed the thick weak phase object approximation (tWPOA) for OBF imaging analysis.
  • Performed comparisons using signal-to-noise ratio transfer functions (SNRTFs), multi-slice image simulations, and experimental validation.

Main Results:

  • Pixelated OBF STEM demonstrates improved imaging efficiency compared to segmented detectors.
  • The pixelated OBF method extends theoretical concepts of SSB ptychography.
  • Significant dose efficiency improvements were observed compared to conventional WPOA-based ptychographic imaging.

Conclusions:

  • Pixelated detectors further enhance the efficiency of OBF STEM.
  • OBF STEM, particularly with pixelated detectors, offers superior dose efficiency for low-dose imaging applications.
  • This technique represents a significant advancement over existing WPOA-based ptychographic imaging methods.