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Related Experiment Videos

Elemental maps from EFTEM images using two different background subtraction models.

C Quintana1, J P Lechaire, N Bonnet

  • 1Instituto de Microelectrónica de Madrid, CNM, CSIC, PTM, Tres Cantos, Madrid, Spain. carmen@imm.cnm.csic.es

Microscopy Research and Technique
|April 13, 2001
PubMed
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This study compares background fitting models for elemental mapping in Transmission Electron Microscopy. The log-polynomial model offers better accuracy than the power law, especially in low-energy regions, improving elemental map generation.

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Microscopy

Background:

  • Electron energy loss spectroscopy (EELS) in Transmission Electron Microscopy (TEM) enables elemental analysis.
  • Energy-filtered TEM (EFTEM) allows for spectral display of specific sample regions.
  • Accurate background fitting is crucial for generating reliable elemental maps.

Purpose of the Study:

  • To compare the performance of two mathematical models for background fitting in EFTEM.
  • To evaluate the Egerton power law and the log-polynomial law for elemental mapping.
  • To assess the impact of energy loss values and fitting methods on elemental map accuracy.

Main Methods:

  • Acquisition of energy-filtered images in TEM (EFTEM) to obtain electron energy loss spectra.

Related Experiment Videos

  • Application of two background fitting models: Egerton power law and log-polynomial law.
  • Analysis of low (40-150 eV) and high (350-600 eV) energy regions using custom software for interactive processing of EFTEM image series.
  • Elemental mapping of iron, phosphorus, nitrogen, and oxygen in biological materials using two types of analytical TEMs.

    • Main Results:

    • The Egerton power law is sensitive to pre-edge energy loss values during extrapolation.
    • The log-polynomial model demonstrates lower sensitivity to pre-edge energy loss in the low-energy region.
    • The log-polynomial model combined with interpolation provided the best fit for the oxygen K edge.

    Conclusions:

    • The log-polynomial model is a more robust method for background fitting in EFTEM elemental mapping compared to the power law.
    • Improved background calculation through advanced software and controlled methods represents a significant advancement in generating accurate elemental maps.
    • The choice of background fitting model and method impacts the reliability of elemental quantification in biological samples.