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Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
Published on: April 1, 2017
Optimization of EBSD parameters for ultra-fast characterization.
Y Chen1, J Hjelen, S S Gireesh
1Norwegian University of Science and Technology (NTNU), Department of Materials Science and Engineering, Trondheim, Norway. happywinner01@gmail.com
Journal of Microscopy
|January 19, 2012
Summary
Ultra-fast electron backscatter diffraction (EBSD) offers advantages for materials science. Optimizing parameters like step size and pattern resolution is crucial for achieving high-quality microstructural analysis, especially in demanding applications.
Area of Science:
- Materials Science
- Electron Microscopy
- Crystallography
Background:
- Ultra-fast electron backscatter diffraction (EBSD) is emerging as a powerful technique for materials microstructure investigation.
- Optimization of parameters for ultra-fast EBSD, particularly for offline indexing, requires further study.
Purpose of the Study:
- To investigate and optimize key parameters for ultra-fast electron backscatter diffraction (EBSD) acquisition and offline indexing.
- To establish guidelines for achieving high-quality microstructural analysis using this advanced technique.
Main Methods:
- Systematic variation of parameters including step size, probe current, frame rate, pattern resolution, and working distance.
- Evaluation of specimen contamination, indexed point fraction, and effective spatial resolution.
- Development of a novel method for calculating effective spatial resolution.
Main Results:
- Specimen contamination is negligible at small step sizes (1 nm) and specific vacuum levels (6.1 × 10⁻⁵ Pa).
- An optimal step size around 50 data acquisition board units was identified.
- Effective spatial resolution increases with probe current, while indexed point fraction slightly decreases with increasing frame rate.
- Optimal pattern resolution was determined to be 96 × 96 for balancing speed and image quality.
- Indexed point fraction exhibits a maximum with respect to working distance, decreasing sharply at shorter and slowly at longer distances.
Conclusions:
- Ultra-fast EBSD with offline indexing is a viable and potentially dominant technique for materials characterization, especially for in situ experiments and large-area mapping.
- The study provides critical insights into optimizing EBSD parameters for enhanced speed and data quality.
- The proposed method for calculating effective spatial resolution aids in accurate microstructural analysis.
