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Related Concept Videos

Phase Contrast and Differential Interference Contrast Microscopy01:26

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Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Related Experiment Video

Updated: Nov 1, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

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Pupil-modulation ghost phase imaging.

Takafumi Ito, Koshi Komuro, Takanori Nomura

    Applied Optics
    |June 18, 2021
    PubMed
    Summary

    Computational ghost imaging (CGI) now retrieves phase information, enabling transparent object imaging. This breakthrough combines CGI with pupil modulation differential phase contrast (PMDPC) for enhanced microscopy.

    Area of Science:

    • Optics and Photonics
    • Microscopy Techniques
    • Computational Imaging

    Background:

    • Computational ghost imaging (CGI) excels at image reconstruction in low signal-to-noise conditions.
    • Standard CGI lacks the capability to retrieve phase information, limiting its use for transparent samples like living cells.
    • Phase imaging is crucial for visualizing delicate, transparent biological specimens.

    Purpose of the Study:

    • To develop a novel phase imaging method compatible with Computational Ghost Imaging (CGI) architecture.
    • To overcome the limitation of CGI in retrieving phase information.
    • To enable the observation of transparent objects, such as living cells, using an enhanced CGI system.

    Main Methods:

    • Integration of Pupil Modulation Differential Phase Contrast (PMDPC) into the CGI framework.

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  • Utilizing intensity distributions in PMDPC to extract phase gradient information.
  • Leveraging the similar optical setup requirements of CGI and PMDPC for easy integration.

    • Main Results:

    • Successful demonstration of phase imaging capabilities within the CGI architecture.
    • Numerical simulations confirmed the feasibility of the proposed method.
    • Optical experiments validated the practical application of the integrated technique.

    Conclusions:

    • The proposed method effectively extends CGI capabilities to include phase imaging.
    • The integration of PMDPC with CGI provides a simple yet powerful tool for transparent object visualization.
    • This advancement holds significant potential for biological imaging and other scientific applications requiring phase contrast.