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Membrane activity detection in cultured cells using phase-sensitive plasmonics.

Foozieh Sohrabi, Yasaman Jahani, Jose Vicente Sanchez-Mut

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    |December 31, 2020
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    Researchers developed a novel label-free neuroimaging technique using plasmonics and ellipsometry. This cost-effective method detects cellular membrane activity with high sensitivity, offering a new tool for neural signal recording.

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    Area of Science:

    • Neuroscience
    • Biophysics
    • Materials Science

    Background:

    • Current neural recording techniques face limitations including invasiveness, poor resolution, and signal noise.
    • Neuroplasmonics offers a label-free, non-toxic alternative with advantages over traditional methods.
    • There is a need for advanced, cost-effective neural recording technologies.

    Purpose of the Study:

    • To introduce an integrated plasmonic-ellipsometry platform for label-free detection of cellular membrane activity.
    • To demonstrate the platform's capability in differentiating neural activity of various cell types.
    • To highlight the potential of this technique for high-sensitivity neural signal recording.

    Main Methods:

    • Utilized cost-effective gratings from commercial DVDs for plasmonic applications.
    • Employed ellipsometry to simultaneously measure amplitude and phase of reflected light for enhanced sensitivity.
    • Cultured primary hippocampal neurons, SH-SY5Y neuroblastoma cells, and HEK293 cells on the grating surface.
    • Applied KCl solution as a chemical stimulus to induce and observe cellular responses.

    Main Results:

    • Successfully detected membrane activity in cultured cells using the integrated platform.
    • Differentiated neural activity between distinct cell types based on optical signals.
    • Achieved high signal-to-noise ratio measurements near surface plasmon resonances.
    • Demonstrated label-free optical recording of cellular signaling events.

    Conclusions:

    • The developed plasmonic-ellipsometry platform provides a sensitive, label-free method for neural activity detection.
    • This technique overcomes limitations of existing neural recording methods, such as invasiveness and labeling requirements.
    • The platform shows significant potential for applications in neuroscience research and diagnostics.