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Three-dimensional thermophotonic super-resolution imaging by spatiotemporal diffusion reversal method.

Damber Thapa1, Pantea Tavakolian1, George Zhou1

  • 1Center for Advanced Diffusion-Wave and Photoacoustic Technologies, Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.

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This study enhances thermophotonic imaging resolution using advanced deconvolution and filtering techniques. The developed method, enhanced truncation-correlation photothermal coherence tomography (eTC-PCT), overcomes scattering to image subsurface biological structures.

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Area of Science:

  • Biomedical Optics
  • Optical Imaging
  • Super-resolution Microscopy

Background:

  • Thermophotonic imaging offers subsurface visualization but is limited by optical scattering and diffusion.
  • Achieving high spatial resolution in infrared imaging of biological tissues remains a challenge.
  • Conventional thermal imaging methods struggle to resolve fine details at depth.

Purpose of the Study:

  • To develop a spatial super-resolution technique for thermophotonic imaging.
  • To restore blurred infrared thermophotonic images to their original optical resolution.
  • To demonstrate the capability of the enhanced modality in biological applications.

Main Methods:

  • Utilized spatial second-derivative forming, spatial gradient adaptive filtering, and Richardson-Lucy deconvolution.
  • Constructed an experimental point spread function for image restoration.
  • Implemented the technique through enhanced truncation-correlation photothermal coherence tomography (eTC-PCT).

Main Results:

  • Successfully restored blurred thermophotonic images to prediffusion optical resolution.
  • Demonstrated imaging of fine axial cracks in human teeth.
  • Visualized subsurface anatomical structures in a mouse brain and neovascularization in a mouse thigh.
  • Showcased immunity to optical scattering, enabling deeper subsurface imaging than conventional methods.

Conclusions:

  • The eTC-PCT modality achieves spatial super-resolution in thermophotonic imaging.
  • This technique overcomes scattering limitations, revealing subsurface biological features with high fidelity.
  • The method has significant potential for advanced biomedical imaging applications.