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Optical Nonlinearity Enabled Super-Resolved Multiplexing Microscopy.

Lei Ding1,2, Chaohao Chen1,3,4, Xuchen Shan5

  • 1Guangdong Engineering and Technology Research Center for Advanced Nanomaterials, School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, China.

Advanced Materials (Deerfield Beach, Fla.)
|November 16, 2023
PubMed
Summary
This summary is machine-generated.

Researchers introduce optical nonlinearity as a new dimension for super-resolved multiplexing microscopy. This method uses unique optical fingerprints from upconversion nanoparticles (UCNPs) for enhanced nanoscale object recognition in biology and medicine.

Keywords:
lanthanidemultiplexingnonlinearitysuper-resolution

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Area of Science:

  • Nanotechnology
  • Optical Microscopy
  • Spectroscopy

Background:

  • Multiplexing in nanoscopy traditionally relies on limited dimensions like emission intensity, color, lifetime, and polarization.
  • Nanoscale object recognition is crucial for advancements in biology, medicine, anti-counterfeiting, and microscopic imaging.

Purpose of the Study:

  • To introduce optical nonlinearity as a novel dimension for super-resolved multiplexing microscopy.
  • To develop a robust imaging strategy for differentiating nanoparticles based on their unique optical nonlinearities.

Main Methods:

  • Utilizing energy transitions in doped lanthanide ions within upconversion nanoparticles (UCNPs) to generate distinct optical nonlinearities.
  • Employing a vortex beam to modulate the imaging point-spread function (PSF) based on optical nonlinearity.
  • Demonstrating four-channel multiplexing super-resolved imaging by combining emission color and optical nonlinearity.

Main Results:

  • Achieved a spatial resolution exceeding 150 nm (1/6.5λ).
  • Successfully differentiated UCNPs with distinct optical nonlinearities by analyzing PSF variations.
  • Enabled multiplexed imaging using two orthogonal dimensions: emission color and optical nonlinearity.

Conclusions:

  • Optical nonlinearity offers a new, orthogonal dimension for multiplexing in super-resolved microscopy.
  • This approach significantly enhances nanoscale object recognition capabilities.
  • The technique holds substantial potential for applications in bioimaging, anti-counterfeiting, and high-density data storage.