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Scanning Electron Microscopy01:07

Scanning Electron Microscopy

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Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
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An open-source engine for the processing of electron backscatter patterns: EBSD-image.

Philippe T Pinard1, Marin Lagacé, Pierre Hovington

  • 1Materials and Mining Engineering Department, McGill University, 3610 University Street, Montreal, Quebec H3A2B2, Canada. philippe.pinard@mail.mcgill.ca

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|May 11, 2011
PubMed
Summary
This summary is machine-generated.

EBSD-Image is a new open-source software package for processing electron backscatter diffraction (EBSD) patterns. It offers advanced features for data analysis and accurately detects Kikuchi bands, comparable to commercial systems.

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Area of Science:

  • Materials Science
  • Crystallography
  • Computational Materials Science

Background:

  • Electron Backscatter Diffraction (EBSD) is a crucial technique for analyzing material microstructures.
  • Processing EBSD data, especially large datasets, requires specialized and efficient software tools.
  • Existing software may lack flexibility or advanced features for comprehensive analysis.

Purpose of the Study:

  • To introduce EBSD-Image, an open-source software package for processing EBSD patterns.
  • To provide users with full control over data processing operations and analysis.
  • To offer advanced functionalities for large-scale EBSD data analysis and quality assessment.

Main Methods:

  • Development of an open-source software package, EBSD-Image.
  • Implementation of algorithms for EBSD pattern processing, including Kikuchi band detection.
  • Benchmarking using simulated EBSD patterns and real experimental data from deformed copper and iron samples.
  • Evaluation of 24 quality metrics for assessing material deformation.

Main Results:

  • EBSD-Image provides a flexible and structured interface for processing EBSD data.
  • Kikuchi band detection in EBSD-Image is comparable to commercial EBSD systems.
  • Fourteen out of 24 evaluated quality metrics effectively measured the deformation gradient in copper and iron samples.

Conclusions:

  • EBSD-Image is a powerful, open-source tool for advanced EBSD data processing and analysis.
  • The software demonstrates high performance in Kikuchi band detection and deformation assessment.
  • EBSD-Image offers unique features like practical file formats, mapping stitching, and distributed computing capabilities.