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Related Concept Videos

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Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Related Experiment Video

Updated: Jun 20, 2026

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
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Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Incorporation of imaging into a temporal coherence sensor.

D Hickman, C J Duffy, T J Hall

    Optics Letters
    |September 12, 2009
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an image-processing technique leveraging temporal coherence differences. It significantly enhances signal-to-clutter ratios for laser imaging in challenging backgrounds.

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    Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
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    Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

    Published on: November 19, 2012

    Area of Science:

    • Optical Engineering
    • Image Processing
    • Laser Technology

    Background:

    • Conventional imaging techniques struggle with low signal-to-clutter ratios in complex environments.
    • Laser-based imaging systems often face interference from background light, reducing image quality.
    • Temporal coherence properties of light are underexplored for enhancing image contrast.

    Purpose of the Study:

    • To develop and demonstrate an image-processing technique that utilizes temporal coherence differences.
    • To improve the signal-to-clutter ratio (SCR) in laser imaging systems.
    • To address limitations such as processing speed, dynamic range, and image misalignment.

    Main Methods:

    • An image-processing method exploiting temporal coherence differences within a scene was developed.
    • Optical design modifications and electronic signal processing enhancements were implemented.
    • Processed images were generated using a Helium-Neon (He-Ne) laser in a white-light background.

    Main Results:

    • Demonstrated an increase in signal-to-clutter ratio of approximately 10^2 for He-Ne laser imaging.
    • Identified and proposed solutions for challenges in processing speed, dynamic range, and image misalignment.
    • Nonimaging experiments suggest potential for signal-to-clutter gains approaching 10^8.

    Conclusions:

    • The proposed image-processing technique effectively enhances SCR in laser imaging.
    • Modifications to optical design and signal processing are crucial for practical implementation.
    • Significant improvements in laser imaging performance are achievable, paving the way for advanced applications.