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Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

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Related Experiment Video

Updated: Jul 8, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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Measuring extinction with digital holography: noisy holograms.

Matthew J Berg, Killian Aleau, Romain Ceolato

    Optics Express
    |January 5, 2024
    PubMed
    Summary

    This study introduces a novel noise reduction technique for digital holography, improving the accuracy of particle extinction cross-section measurements. The method enhances the reliability of holographic data for analyzing small particles.

    Area of Science:

    • Optical Physics
    • Particle Characterization
    • Metrology

    Background:

    • Digital in-line holography (DIH) enables lens-less imaging of microparticles (several to >100 microns).
    • DIH can determine particle extinction cross-sections, but noise compromises accuracy.
    • Accurate cross-section measurement is crucial for aerosol science and material analysis.

    Purpose of the Study:

    • To develop and validate a noise reduction method for digital holograms of single particles.
    • To enhance the accuracy of extinction cross-section estimation from noisy holographic data.
    • To demonstrate the method's effectiveness across different particle types and wavelengths.

    Main Methods:

    • A noise reduction technique involving masking the complex-valued particle image-amplitude.

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  • Application of a Fresnel transformation to the masked amplitude to generate a noise-reduced hologram.
  • Validation using micro-sphere and non-spherical particles at 440 nm and 1040 nm.

    • Main Results:

    • Successfully reduced noise in digital holograms of single microparticles.
    • Achieved more effective estimation of extinction cross-sections compared to standard methods.
    • Demonstrated robustness for both spherical and non-spherical particles.

    Conclusions:

    • The proposed noise reduction method significantly improves the accuracy of extinction cross-section determination from digital holograms.
    • This technique enhances the utility of DIH for quantitative particle analysis, particularly in noisy environments.
    • The method offers a practical solution for more reliable characterization of microparticles using holography.