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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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Super-Resolution Electrochemical Impedance Imaging With a 512 × 256 CMOS Sensor Array.

Kangping Hu, Jason Ho, Jacob K Rosenstein

    IEEE Transactions on Biomedical Circuits and Systems
    |June 16, 2022
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    Summary

    This study introduces a novel CMOS sensor for super-resolution electrochemical impedance spectroscopy (SR-EIS) imaging. The technology achieves microscale impedance imaging with sub-pixel resolution, enabling detailed visualization of cellular structures.

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    Area of Science:

    • Electrical Engineering
    • Biomedical Imaging
    • Materials Science

    Background:

    • Super-resolution imaging enhances image detail by merging multiple lower-resolution images.
    • Traditional super-resolution techniques are often limited to optical systems.
    • Electrochemical impedance spectroscopy (EIS) provides valuable electrical property information about materials and biological samples.

    Purpose of the Study:

    • To develop a micro-scale super-resolution electrochemical impedance spectroscopy (SR-EIS) imaging system.
    • To demonstrate the capability of a custom CMOS sensor array for SR-EIS.
    • To achieve sub-pixel resolution in impedance imaging for microscale applications.

    Main Methods:

    • Implementation of a 512 × 256 CMOS sensor array in 180 nm technology with 10 μm × 10 μm pixels.
    • Measurement of mutual capacitance between programmable pixel pairs.
    • Computational combination of multiple spatially-resolved impedance images for super-resolution reconstruction.
    • Utilizing finite-element electrostatic simulations to validate the measurement approach.

    Main Results:

    • Successful demonstration of a CMOS sensor array for SR-EIS imaging.
    • Experimental measurement of sub-cellular permittivity distribution in green algae cells.
    • Achieved microscale impedance images with sub-pixel resolution, surpassing conventional sensor limitations.

    Conclusions:

    • The developed CMOS sensor array enables high-resolution microscale impedance imaging.
    • SR-EIS imaging offers a powerful tool for visualizing sub-cellular electrical properties.
    • This technology has potential applications in various fields requiring detailed microscale analysis.