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Updated: Feb 18, 2026

Electron Channeling Contrast Imaging for Rapid III-V Heteroepitaxial Characterization
Published on: July 17, 2015
Comparative study of image contrast in scanning electron microscope and helium ion microscope
R O'Connell1, Y Chen1,2, H Zhang1
1School of Physics and CRANN & AMBER, Trinity College Dublin, Dublin, Republic of Ireland.
This study compares imaging techniques for gallium (Ga+) implanted silicon, finding similar contrast relationships between imaging parameters and Ga+ density in both helium ion and scanning electron microscopes. Dynamic charging affects image quantification in both methods.
Area of Science:
- Materials Science
- Surface Science
- Microscopy
Background:
- Gallium (Ga+) implantation is used to modify amorphous silicon properties.
- Scanning electron microscopy (SEM) and helium ion microscopy (HIM) are advanced imaging techniques.
- Understanding image contrast is crucial for accurate material characterization.
Purpose of the Study:
- To investigate the effects of Ga+ implantation dose and imaging parameters on image contrast.
- To compare the contrast behavior in SEM and HIM.
- To assess the impact of dynamic charging on image quantification.
Main Methods:
- Imaging of Ga+ implanted amorphous silicon layers in n-type silicon substrates.
- Utilizing various detectors in SEM (Inlens) and HIM (Everhart-Thornley).
- Systematic variation of implantation dose and imaging parameters (beam energy, dwell time).
Main Results:
- A similar relationship was observed between image contrast and Ga+ density across both SEM and HIM detectors.
- Imaging parameters significantly influence image contrast in both microscopy techniques.
- Dynamic charging effects were found to impact the quantification of contrast in both SEM and HIM.
Conclusions:
- SEM and HIM exhibit comparable contrast responses to Ga+ density and imaging parameters in amorphous silicon.
- Accurate quantification of HIM and SEM images requires accounting for dynamic charging effects.
- This comparative study provides insights into optimizing imaging protocols for ion-implanted materials.
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