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Updated: Feb 2, 2026

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Flipping interferometry with doubled imaging area.

Noa Rotman-Nativ, Nir A Turko, Natan T Shaked

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    |November 16, 2018
    PubMed
    Summary

    A novel holographic module expands field of view for quantitative phase microscopy. This technique enhances imaging of dynamic biological samples like cancer cells and cardiomyocytes without spatial filtering.

    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Microscopy

    Background:

    • Quantitative phase microscopy (QPM) is crucial for label-free imaging of biological samples.
    • Traditional QPM systems often face limitations in field of view and require complex optical setups.
    • External reference beam generation in holographic microscopy can be challenging and necessitate spatial filtering.

    Purpose of the Study:

    • To introduce a new external off-axis holographic module.
    • To enhance the field of view (FOV) in QPM by doubling the acquired complex wavefront data.
    • To enable flexible control over optical parameters for improved sample imaging.

    Main Methods:

    • Development of an external off-axis holographic module utilizing holographic flipping and multiplexing.

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  • Elimination of the need for spatial filtering (pinhole or lenses) for external reference beam generation.
  • Experimental demonstration of controlled overlap area and off-axis angles between sample and reference beams.
  • Main Results:

    • Successfully doubled the complex wavefront field of view compared to previous designs.
    • Demonstrated a simplified optical setup by removing the requirement for spatial filtering.
    • Achieved precise control over the overlap area and off-axis angle.
    • Validated the system's utility for imaging extended stationary and dynamic biological samples.

    Conclusions:

    • The proposed holographic module offers a significant advancement in QPM.
    • It provides an enhanced FOV and simplified optical configuration.
    • The technique is effective for high-resolution imaging of dynamic biological processes, including cancer cell flow and cardiomyocyte beating.