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Related Experiment Videos

Extraneous background-correction program for matrix bound multiple point X-ray microanalysis.

W C de Bruijn1, M P van Miert

  • 1Clinical Pathological Inst., Erasmus University, Rotterdam, The Netherlands.

Scanning Microscopy
|March 1, 1988
PubMed
Summary

This study introduces a new program for accurately determining extraneous background in X-ray microanalysis. It corrects for background noise, improving concentration measurements in multiple point analyses.

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Physics

Background:

  • X-ray microanalysis is crucial for elemental composition determination.
  • Accurate background correction is essential for reliable quantitative analysis.
  • Existing methods may struggle with complex matrices and extraneous background signals.

Purpose of the Study:

  • To develop and describe an on-line program for determining extraneous background in X-ray microanalytical matrices.
  • To improve the accuracy of elemental concentration measurements by correcting for background noise.
  • To provide a robust method for handling complex spectral data in real-time.

Main Methods:

  • The program calculates extraneous background for film, standards, and unknowns using point analysis.

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  • It identifies peak-free spectral regions to estimate background values (be).
  • On-line subtraction of background from spectral regions near target elements (e.g., Pt) is performed, followed by off-line correction of Z2/A differences.

    • Main Results:

    • The program generates corrected concentration arrays by calculating Rx,st and Rx,sp per pixel.
    • It effectively subtracts extraneous background, leading to more accurate elemental quantification.
    • Off-line corrections address Z2/A differences between standards and specimens, refining pixel-specific concentration values.

    Conclusions:

    • The developed program enables accurate on-line determination and correction of extraneous background in X-ray microanalysis.
    • This method enhances the reliability of quantitative elemental analysis, particularly in complex matrices.
    • The program's ability to perform both on-line and off-line corrections offers a comprehensive solution for improved analytical accuracy.