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Imaging Biological Samples with Optical Microscopy01:18

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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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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
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Computational Optical Sensing and Imaging 2021: introduction to the feature issue.

Jun Ke, Tatiana Alieva, Figen S Oktem

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    Summary
    This summary is machine-generated.

    This feature issue presents recent advances in computational optical sensing and imaging, covering diverse topics like microscopy and deep learning applications. It highlights works from the 2021 Optica Topical Meeting on Computational Optical Sensing and Imaging.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Optical Sensing

    Background:

    • The field of computational optical sensing and imaging is rapidly evolving.
    • Recent advancements necessitate a consolidated overview of cutting-edge research.

    Purpose of the Study:

    • To present a collection of recent works in computational optical sensing and imaging.
    • To cover a broad scope of topics presented at the 2021 Optica Topical Meeting.

    Main Methods:

    • Compilation of 34 research papers and 2 reviews.
    • Focus on works presented at the 2021 Optica Topical Meeting on Computational Optical Sensing and Imaging.

    Main Results:

    • Coverage of diverse computational imaging topics including microscopy, 3D imaging, phase retrieval, non-line-of-sight imaging, imaging through scattering media, ghost imaging, and compressed sensing.
    • Inclusion of applications utilizing novel sensor types.
    • Emphasis on the role of deep learning in computational imaging and sensing.

    Conclusions:

    • The feature issue provides a comprehensive snapshot of the current state and future directions in computational optical sensing and imaging.
    • It underscores the growing importance of deep learning in advancing these fields.