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Selective Addressing of Versatile Nanodiamonds via Physically-Enabled Classifier in Complex Biosystems.

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We developed an all-optical imaging method to improve nanoscale biosensing using nitrogen-vacancy (NV) centers. This technique effectively filters background noise in complex biological samples, enhancing imaging clarity.

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Area of Science:

  • Quantum optics
  • Nanotechnology
  • Biophysics

Background:

  • Nitrogen-vacancy (NV) centers are promising for nanoscale biosensing and bioimaging.
  • Biological applications are hindered by light scattering and autofluorescence, creating background noise.
  • Existing methods struggle to isolate NV signals in complex biological environments.

Purpose of the Study:

  • To develop an all-optical modulated imaging method for direct NV fluorescence access.
  • To effectively filter background noise in cellular and tissue imaging.
  • To enable high-fidelity nanoscale sensing and imaging in challenging biological settings.

Main Methods:

  • Utilized an all-optical modulated imaging approach with a physically enabled classifier.
  • NV fluorescence was optically modulated to create sinusoid-like variations for signal classification.
  • Validated the method in complex biological scenarios including cells and organisms.

Main Results:

  • Achieved significant signal-to-background ratio enhancement (1.92 to 60.39 dB) for nanodiamonds in neural protein imaging.
  • Demonstrated a 4-fold contrast improvement in optically detected magnetic resonance within stained cells.
  • Successfully filtered background noise in diverse biological samples, including live cells and organisms.

Conclusions:

  • The developed method provides a generic, explainable, and robust solution for NV-based imaging and sensing.
  • Enables high-fidelity imaging and sensing in noise-laden biological environments.
  • Overcomes limitations of scattering and autofluorescence for advanced bioapplications.