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A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
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Computational multispectral video imaging [Invited].

Peng Wang, Rajesh Menon

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |January 13, 2018
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    Summary
    This summary is machine-generated.

    We developed a compact single-shot multispectral video camera using a diffractive filter. This innovative camera achieves high spectral resolution and enhanced spatial resolution without absorptive filters, preserving sensitivity.

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    Area of Science:

    • Optics and Photonics
    • Image Sensing Technologies
    • Computational Imaging

    Background:

    • Multispectral imaging captures information beyond human vision.
    • Conventional multispectral cameras can be bulky and complex.
    • Existing methods often rely on absorptive filters, limiting sensitivity.

    Purpose of the Study:

    • To demonstrate a compact, single-shot multispectral video-imaging camera.
    • To achieve high spectral and spatial resolution in a small form factor.
    • To maintain high sensitivity by avoiding absorptive filters.

    Main Methods:

    • Integration of a micro-structured diffractive filter with an image sensor.
    • Conversion of spectral information into a spatial code on sensor pixels.
    • Application of regularization-based linear algebra for image reconstruction.
    • Experimental demonstration of visible and visible-infrared (Vis-IR) imaging.

    Main Results:

    • Achieved a spectral resolution of 9.6 nm within the 430-718 nm visible band.
    • Enhanced spatial resolution by over 30% compared to systems without the diffractive filter.
    • Demonstrated the capability for Vis-IR imaging using the same sensor.
    • Preserved sensor sensitivity due to the absence of absorptive color filters.

    Conclusions:

    • The developed diffractive filter camera offers a compact and efficient solution for multispectral video imaging.
    • The technology enables high-resolution spectral and spatial information capture.
    • Ease of manufacturing via optical lithography and replication makes it a scalable solution.