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Cost and Capability Compromises in STEM Instrumentation for Low-Voltage Imaging
Frances Quigley1,2, Patrick McBean1,2, Peter O'Donovan1
1School of Physics, Trinity College Dublin, Dublin 2, Ireland.
Summary
Optimizing scanning transmission electron microscopy (STEM) for low-voltage imaging of beam-sensitive samples like nanoparticles requires careful consideration of chromatic aberration. This study provides a methodology to determine the optimal energy spread for improved image quality and instrument selection.
Area of Science:
- Materials Science
- Electron Microscopy
- Nanotechnology
Background:
- Low-voltage transmission electron microscopy (≤80 kV) is crucial for imaging beam-sensitive samples, such as metallic nanoparticles, which are prone to damage at higher voltages.
- Spherical aberration correction in scanning transmission electron microscopy (STEM) enhances resolution but can make chromatic aberration the limiting factor.
Purpose of the Study:
- To investigate the impact of chromatic aberration correctors, objective lenses, and beam energy spreads on image quality for low-voltage STEM imaging of gold nanoparticles.
- To develop a methodology for deducing the optimal energy spread for specific STEM instruments and samples.
Main Methods:
- Utilized image simulations to analyze the effects of various parameters on image quality in a spherical aberration-corrected STEM.
- Performed quantitative analysis of simulated images to assess the influence of chromatic aberration correctors, objective lenses, and beam energy spreads.
- Developed and demonstrated a methodology for optimizing STEM operation based on energy spread.
Main Results:
- Identified how chromatic aberration correctors, objective lenses, and beam energy spreads affect image quality in low-voltage STEM.
- Demonstrated a quantitative method to determine the optimal energy spread for specific STEM configurations.
- Provided insights for informed instrumentation choices for low-voltage imaging applications.
Conclusions:
- The choice of instrumentation, particularly the energy spread, significantly impacts the resolution and image quality of low-voltage STEM.
- The developed methodology enables users to optimize their STEM for specific samples and instruments, leading to cost-effective improvements.
- This work facilitates informed decisions for acquiring and configuring STEM systems for high-quality imaging of delicate nanomaterials.

