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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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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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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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Updated: Jun 24, 2025

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Computational optical sensing and imaging: introduction to the feature issue.

Prasanna V Rangarajan, Daniele Faccio, Seung Ah Lee

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    This feature issue highlights innovations in computational optical sensing and imaging. Advances span optics, signal processing, and machine learning for diverse imaging applications.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging Science

    Background:

    • Showcases technical innovations from the 2023 topical meeting on Computational Optical Sensing and Imaging.
    • Highlights the synergy between optics, signal processing, and machine learning in imaging science.

    Purpose of the Study:

    • To present cutting-edge research in computational optical sensing and imaging.
    • To feature advancements in imaging science driven by interdisciplinary collaboration.

    Main Methods:

    • Compilation of 26 contributed articles from leading researchers.
    • Focus on synergistic activities across optics, signal processing, and machine learning.

    Main Results:

    • Demonstrates progress in non-line-of-sight imaging.
    • Covers advancements in imaging through scattering media.
    • Includes breakthroughs in compressed sensing, lensless imaging, and ptychography.

    Conclusions:

    • The feature issue underscores the rapid evolution of computational imaging.
    • Highlights the importance of integrating optics, signal processing, and machine learning for future imaging technologies.