Correspondence analysis for quantification in electron energy loss spectroscopy and imaging

Area of Science:

• Materials Science
• Spectroscopy
• Analytical Chemistry

Background:

• Electron energy loss spectroscopy (EELS) is a powerful technique for material characterization.
• EELS, when coupled with electron microscopy, allows for energy-filtered imaging and elemental analysis.
• Current methods for quantifying elemental concentration rely on parametric background correction, which has limitations.

Purpose of the Study:

• To introduce and evaluate a novel parameter-free method for background correction in EELS.
• To demonstrate the applicability of correspondence analysis for spectral background correction.
• To assess the suitability of this method for quantitative elemental determination.

Main Methods:

• Development of a parameter-free background correction method based on correspondence analysis.
• Application of the method to EELS spectra, particularly in regions with unknown functional dependence.
• Simulation experiments to validate the quantitative accuracy of the method.

Main Results:

• The parameter-free method effectively corrects spectral backgrounds in EELS.
• Correspondence analysis provides a robust approach for background subtraction.
• Simulation results indicate high suitability for quantitative determination of element distributions and concentrations.

Conclusions:

• The proposed parameter-free background correction method enhances the quantitative capabilities of EELS.
• This approach offers an alternative to conventional parametric methods, especially when spectral behavior is uncertain.
• The method shows promise for accurate elemental mapping and concentration measurements in materials.