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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

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.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

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...
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

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Lensless Fluorescent Microscopy on a Chip
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High speed single pixel imaging using a microLED-on-CMOS light projector.

G E Johnstone, J Gray, S Bennett

    Optics Express
    |November 14, 2024
    PubMed
    Summary

    This study introduces a high-speed single pixel imaging system using a microLED projector, achieving frame rates up to 800 fps. This overcomes limitations of traditional systems, enabling faster and more flexible imaging applications.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Materials Science

    Background:

    • Single pixel imaging (SPI) systems typically face trade-offs between speed and flexibility.
    • Existing SPI methods often require complex optics or limited hardware pattern sets.
    • High frame-rate operation is crucial for dynamic scene capture.

    Purpose of the Study:

    • To demonstrate a flexible, high frame-rate single pixel imaging system.
    • To leverage a novel microLED projector for enhanced imaging performance.
    • To explore the potential of deep learning-generated patterns for SPI.

    Main Methods:

    • Utilized a newly developed microLED light projector with individually addressable pixels.
    • Implemented Hadamard and Noiselet patterns for image reconstruction.
    • Generated custom pattern sets using deep learning tools tailored to the microLED projector.
    • Achieved image reconstruction from single-pixel measurements.

    Main Results:

    • Demonstrated single pixel imaging at pattern frame-rates approaching 400 kfps.
    • Successfully generated 128x128 pixel images at 7.3 fps using standard pattern sets.
    • Achieved nearly 800 fps imaging using deep learning-optimized patterns.
    • The microLED projector enabled faster pattern modulation than traditional devices.

    Conclusions:

    • The microLED-based single pixel imaging system offers unprecedented speed and flexibility.
    • Deep learning-generated patterns significantly enhance SPI performance at high frame rates.
    • This technology paves the way for advanced dynamic imaging applications.