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Related Concept Videos

Blank Solutions00:56

Blank Solutions

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A blank solution is a solution that does not contain the analyte, or the substance of interest being tested or measured. It is typically prepared using the same reagents and procedure as the sample solution but without adding the analyte. The primary purpose of preparing a blank solution is to account for any background interference or contamination that may affect the accuracy and reliability of the analytical method.
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The electromagnetic spectrum consists of all the types of electromagnetic radiation arranged according to their frequency and wavelength. Each of the various colors of visible light has specific frequencies and wavelengths associated with them, and you can see that visible light makes up only a small portion of the electromagnetic spectrum. Because the technologies developed to work in various parts of the electromagnetic spectrum are different, for reasons of convenience and historical...
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Electromagnetic waves are categorized according to their wavelengths and frequencies, giving the electromagnetic spectrum. These waves are classified as radio, infrared, ultraviolet, etc. Radio waves refer to electromagnetic radiation with wavelengths ranging from millimeters to kilometers. Radio waves are commonly used for audio communications (i.e., radios) and typically result from an alternating current in the wires of a broadcast antenna. They cover a broad wavelength range and are used...
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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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IR Spectrum01:19

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When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
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Quantifying X-Ray Fluorescence Data Using MAPS
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Blank Spectrum Correction as a Robust Solution to Artifacts in Quantitative X-ray Fluorescence Mapping.

Andrew M Crawford, Julia Balough, Yu-Ying Chen

    Biorxiv : the Preprint Server for Biology
    |February 6, 2026
    PubMed
    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.

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    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.