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Related Experiment Videos

Developments in processing image sequences for elemental mapping.

N Bonnet1, C Colliex, C Mory

  • 1Unité de Service de Microscopie Electronique Analytique et Quantitative, Université Paris Sud, Orsay, France.

Scanning Microscopy. Supplement
|January 1, 1988
PubMed
Summary
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Accurate elemental mapping using electron energy loss spectroscopy (EELS) requires precise background estimation. This study evaluates various methods to minimize extrapolation errors, improving quantitative elemental mapping and single-atom detection.

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Microscopy

Background:

  • Elemental mapping visualizes chemical species distribution in specimens using EELS core signals from energy-filtered images.
  • A key challenge in EELS elemental mapping is background extrapolation error, leading to false positives or negatives.
  • Accurate background estimation is crucial for reliable elemental quantification and sensitivity.

Purpose of the Study:

  • To assess the validity of different background modeling and fitting procedures for EELS elemental mapping.
  • To improve the reliability and accuracy of quantitative elemental mapping.
  • To advance the identification of single atoms in materials.

Main Methods:

  • Evaluation of diverse mathematical background models.

Related Experiment Videos

  • Comparison of one-parameter and two-parameter fitting procedures.
  • Analysis of various fitting methods, including quasi-local parameter estimation.
  • Main Results:

    • Statistical validity of different background estimation techniques was tested on real EELS datasets.
    • Performance was assessed using specimens like Co/CeO2 catalysts, ferritin molecules, and U/Tb staining clusters.
    • Progress towards quantitative elemental mapping with defined confidence levels was demonstrated.

    Conclusions:

    • The study provides insights into optimizing background subtraction for EELS elemental mapping.
    • Improved methods enhance the accuracy of chemical species distribution analysis.
    • This work contributes to the goal of identifying individual atoms through advanced microscopy techniques.