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Related Experiment Video

Updated: Feb 20, 2026

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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Depth-filtering in common-path digital holographic microscopy.

Markus Finkeldey, Lena Göring, Carsten Brenner

    Optics Express
    |October 19, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a depth-filtering technique using low coherent gating and quantitative phase imaging microscopy. This method effectively isolates sample layers, improving image quality and acquisition speed for advanced optical microscopy applications.

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    Area of Science:

    • Optical microscopy
    • Phase imaging
    • Nanotechnology

    Background:

    • Quantitative phase imaging (QPI) microscopy is valuable for label-free imaging.
    • Traditional QPI setups can suffer from interference artifacts from multiple sample interfaces.
    • Common-path microscopy offers stability but can be limited in depth selectivity.

    Purpose of the Study:

    • To develop a depth-filtering method for common-path QPI microscopy.
    • To suppress interference artifacts from overlaying optical interfaces.
    • To enable selective imaging of different layers within a sample.

    Main Methods:

    • Utilizing a low coherent gating approach combined with a stable common-path QPI microscopy setup.
    • Employing a holographic microscope in reflective geometry.
    • Using a non-tunable low coherence light source for depth selection.

    Main Results:

    • Demonstrated successful selection of different sample layers.
    • Suppressed negative effects from multiple interference patterns.
    • Achieved high phase sensitivity and fast acquisition speeds.
    • Successfully imaged the hardware layer of a microcontroller through its substrate.

    Conclusions:

    • The developed depth-filtering technique enhances common-path QPI microscopy.
    • This method allows for selective layer imaging, overcoming previous limitations.
    • The technique shows promise for non-destructive subsurface imaging applications.