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Related Experiment Videos

Improved background-fitting algorithms for ionization edges in electron energy-loss spectra.

R F Egerton1, M Malac

  • 1Physics Department, Faculty of Science, University of Alberta, Edmonton, Canada. regerton@ualberta.ca

Ultramicroscopy
|July 26, 2002
PubMed
Summary

Improved background fitting procedures enhance electron energy-loss spectroscopy analysis, especially for weak signals from low elemental concentrations. These new methods offer better constraints for accurate elemental analysis.

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Area of Science:

  • Materials Science
  • Spectroscopy

Background:

  • Electron energy-loss spectroscopy (EELS) is crucial for elemental analysis.
  • Accurate background fitting is essential for detecting weak ionization edges.

Purpose of the Study:

  • To present improved procedures for fitting power-law backgrounds to ionization edges in EELS.
  • To enhance the detection of weak edges from low elemental concentrations.

Main Methods:

  • Developed algorithms for fitting power-law backgrounds to EELS data.
  • Implemented algorithms as Calculator programs for Gatan EL/P software.
  • Compared new methods with multiple-least-squares and spatial-difference techniques.

Main Results:

  • Procedures provide constraints on background fitting above and below the ionization threshold.

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  • Demonstrated particular advantage for weak edges associated with low elemental concentrations.
  • Algorithms are effective for improving EELS data analysis.

    • Conclusions:

    • The improved procedures offer a valuable tool for EELS analysis.
    • These methods enhance the sensitivity and accuracy of elemental quantification.
    • The algorithms provide a practical solution for analyzing challenging EELS spectra.