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Angle selective backscattered electron contrast in the low-voltage scanning electron microscope: Simulation and
Q Wan1, R C Masters1, D Lidzey2
1Department of Material Science and Engineering, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
Ultramicroscopy
|September 26, 2016
Summary
New detectors and simulations enable high-contrast imaging of nanostructured carbon materials using low voltage scanning electron microscopy (LVSEM). This technique optimizes imaging conditions for compositional contrast, mapping material distribution at the nanoscale.
Area of Science:
- Materials Science
- Electron Microscopy
- Nanotechnology
Background:
- Advanced detectors enhance imaging capabilities in low voltage scanning electron microscopes (LVSEM).
- Beam deceleration in LVSEM offers improved resolution and contrast for nanostructured materials.
- Understanding compositional contrast is crucial for analyzing complex material distributions.
Purpose of the Study:
- To predict and optimize imaging conditions for achieving purely compositional contrast in LVSEM.
- To model electron signal intensity using angle-selective back-scattered electron (BSE) detection.
- To experimentally validate simulation predictions on various carbon-based nanomaterials.
Main Methods:
- Utilizing Monte Carlo simulations to predict electron signal intensity under angle-selective BSE detection.
- Employing a concentric back-scattered (CBS) detector with and without a deceleration field.
- Experimental validation using amorphous carbon, copper, and complex nanostructured polymers (PNIPAM/PEGDA IPN, P3HT film).
Main Results:
- Accurate prediction of electron signal intensity for angle-selective BSE imaging in LVSEM.
- Experimental validation confirmed model predictions for compositional contrast.
- Successful mapping of nano-scale composition and crystallinity in complex nanostructured materials.
Conclusions:
- The developed model and detector system enable precise control over compositional contrast in LVSEM.
- This approach allows for detailed nanoscale mapping of material distribution, avoiding topographical artifacts.
- Optimized LVSEM imaging provides new insights into the structure of advanced carbon-based nanomaterials.
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