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Related Concept Videos

Atomic Emission Spectroscopy: Interference01:30

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In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...
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Updated: Dec 31, 2025

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
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Simultaneous multi-region background subtraction for core-level EEL spectra.

Jacob T Held1, Hwanhui Yun1, K Andre Mkhoyan1

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, United States.

Ultramicroscopy
|January 9, 2020
PubMed
Summary
This summary is machine-generated.

We improved background removal for core-level electron energy loss spectra (EELS) using a multi-region power law method. This technique enhances accuracy by fitting both pre- and post-edge regions simultaneously for robust analysis.

Keywords:
BackgroundCore-LevelEELSFittingSTEM

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Area of Science:

  • Materials Science
  • Spectroscopy
  • Electron Microscopy

Background:

  • Background subtraction is crucial for accurate analysis of core-level electron energy loss spectroscopy (EELS) spectra.
  • Existing methods may lack robustness, especially for complex spectra with multiple edges.

Purpose of the Study:

  • To present a robust multi-region extension of power law background subtraction for core-level EELS.
  • To improve the accuracy and consistency of background removal in EELS analysis.

Main Methods:

  • Developed a multi-region power law background subtraction technique.
  • Utilized the post-edge shape of core-loss EEL edges for simultaneous fitting.
  • Applied the method to multiple edges within a single EELS spectrum.

Main Results:

  • Achieved simultaneous and consistent background removal from multiple EELS edges.
  • Demonstrated improved robustness of background removal.
  • Investigated the method's stability concerning fitting energy window and signal-to-noise ratio.

Conclusions:

  • The multi-region power law method offers a more robust approach to background subtraction in core-level EELS.
  • This technique enhances the reliability of quantitative EELS analysis, particularly for multi-edge spectra.