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Updated: Feb 7, 2026
14:58
Quantifying X-Ray Fluorescence Data Using MAPS
Published on: February 17, 2018
11.3K
Blank Spectrum Correction as a Robust Solution to Artifacts in Quantitative X-ray Fluorescence Mapping
Biorxiv : the Preprint Server for Biology
|February 6, 2026
Summary
Quantitative X-ray fluorescence microscopy (XFM) elemental mapping can be skewed by data processing methods. Subtracting a measured blank spectrum, instead of a calculated baseline, yields more accurate and consistent elemental content analysis.
Area of Science:
- Biophysics
- Materials Science
- Analytical Chemistry
Background:
- X-ray fluorescence microscopy (XFM) is a key technique for label-free elemental mapping.
- Accurate quantitative analysis in XFM relies on robust spectral fitting and background correction methods.
- Existing methods for baseline correction can introduce dependencies on acquisition parameters.
Purpose of the Study:
- To investigate the impact of baseline correction methods on quantitative XFM elemental mapping.
- To identify processing variables that affect the accuracy of elemental content determination in XFM.
- To develop a more reliable method for quantitative elemental analysis in biological and material samples.
Main Methods:
- XFM data were acquired from mouse preimplantation embryos and ovarian follicles.
- Quantitative spectral fitting was performed using two background subtraction approaches: calculated baseline removal and empirical blank spectrum subtraction.
- The influence of acquisition dwell-time and spectral aggregation on quantitative results was assessed for both methods.
Main Results:
- Quantitative XFM elemental mapping results showed significant dependence on acquisition dwell-time and spectral aggregation when using a calculated baseline.
- These dependencies led to variations in apparent elemental content, impacting sample comparisons.
- Subtracting an empirically measured blank spectrum produced quantitative elemental mapping results that were independent of dwell time and spectral aggregation.
Conclusions:
- The choice of background subtraction method critically affects the quantitative accuracy of XFM elemental mapping.
- Empirical blank spectrum subtraction offers a more robust and reliable approach for quantitative elemental analysis, overcoming dependencies on acquisition parameters.
- This improved method enhances the comparability and accuracy of XFM data across different experimental conditions and sample types.
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