Abstract

The integrated differential phase contrast (IDPC) method is useful for generating the potential map of a thin sample. We evaluate theoretically the potential of IDPC imaging for thick samples by varying the focus at different sample thicknesses. Our calculations show that high defocus values result in enhanced anisotropy of the contrast transfer function (CTF) and uninterpretable images, if a quadrant detector is applied. We further show that applying a multi-sector detector can result in an almost isotropic CTF. By sector number-dependent calculations for both Cc/C3-corrected and C3-corrected scanning transmission electron microscopy (STEM), we show that the increase of detector sectors not only removes the anisotropy of the CTF, but also improves image contrast and resolution. For a proof-of-principle IDPC-STEM (uncorrected) experiment, we realize the functionality of a 12-sector detector from a physical quadrant detector and demonstrate the improvement in contrast and resolution on the example of InGaN/GaN quantum well structure.

Highlights

  • Scanning transmission electron microscopy (STEM) is a powerful method for investigating nanostructures

  • Since we study the performance of the integrated differential phase contrast (IDPC) method for both Cc/C3-corrected and C3-corrected STEM in this work, chromatic aberration is included in the overview

  • We reported on IDPC-STEM for imaging thick samples, both exploring the potential by calculations and applying the method in a proof-of-principle experiment

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Summary

Introduction

Scanning transmission electron microscopy (STEM) is a powerful method for investigating nanostructures. Standard STEM modes include bright-field (BF) for coherent phase-contrast imaging; annular bright-field (ABF) for partially coherent phase-contrast imaging; and incoherent bright-field (IBF), incoherent annular dark-field (ADF), and high-angle annular dark-field (HAADF) for Z-contrast imaging. Each of these imaging modes collects only part of the scattered electrons. Phase-contrast techniques in STEM use efficiently the electrons within the BF cone for imaging, which improve the signal-to-noise ratio, and provide more options to study nano- and low-Z materials.

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