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Electron Microscope Tomography and Single-particle Reconstruction01:07

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Analysis of SEC-SAXS data via EFA deconvolution and Scatter
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AnyStitch: a tool for combining electron backscatter diffraction data sets.

A L Pilchak1, A R Shiveley, J S Tiley

  • 1Air Force Research Laboratory, Materials and Manufacturing Directorate/RXLM, Wright Patterson Air Force Base, Ohio, U.S.A. adam.pilchak@wpafb.af.mil

Journal of Microscopy
|May 5, 2011
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Summary
This summary is machine-generated.

Electron backscatter diffraction (EBSD) data can now be collected faster, enabling larger sample analysis. A new MATLAB program stitches these EBSD data tiles, improving analysis efficiency and accommodating various data formats.

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Area of Science:

  • Materials Science
  • Crystallography
  • Data Analysis

Background:

  • Electron Backscatter Diffraction (EBSD) technology advancements allow for rapid data acquisition.
  • Analyzing large EBSD datasets requires efficient methods for combining individual data tiles.

Purpose of the Study:

  • To present a MATLAB-based software tool for stitching EBSD data tiles.
  • To enhance the efficiency and accuracy of analyzing large-scale EBSD datasets.

Main Methods:

  • Development of a MATLAB program for automated stitching of EBSD data tiles.
  • Implementation of controls for tile placement, overlap, and stage calibration errors.
  • Inclusion of functions for handling square and hexagonal grids, and resolution reduction.
  • Support for TSL OIM (TSL® OIM™) *.osc and Oxford Instruments HKL *.ctf file formats.
  • Capability to combine *.tif images for montage creation.

Main Results:

  • The developed software successfully stitches EBSD data from various sources.
  • The program offers flexibility in handling different grid types and potential data size issues.
  • Optimized functions for reading TSL OIM data reduce analysis time compared to standard text-reading methods.
  • The output is compatible with TSL OIM Analysis software, ensuring seamless integration.

Conclusions:

  • The MATLAB software provides a robust solution for stitching large EBSD datasets.
  • This tool significantly improves the workflow for researchers analyzing microstructural data.
  • The open availability of the source code, GUI, and compiled version promotes wider adoption and further development.