Improved label-free diagnostics and pathological assessment of atherosclerotic plaques through nonlinear microscopy

Enrico Baria1, Gabriella Nesi2, Raffaella Santi2

  • 1National Institute of Optics, National Research Council, Florence, Italy.

Insights

Nonlinear optical microscopy offers a label-free method for characterizing atherosclerosis, a common cause of heart disease. This technique provides detailed plaque information, paving the way for faster, automated diagnostics.

Area of Science:

  • Biomedical Optics
  • Pathology
  • Cardiovascular Research

Background:

  • Atherosclerosis, a leading cause of coronary heart disease, involves lipid accumulation and inflammation in arterial walls, forming plaques.
  • Plaque characterization is crucial for assessing disease severity but current histopathology methods are operator-dependent and time-consuming.
  • Label-free, advanced imaging techniques are needed to overcome limitations of traditional diagnostic methods.

Purpose of the Study:

  • To evaluate a multimodal nonlinear optical microscopy approach for label-free characterization of atherosclerotic plaques.
  • To discriminate between different tissue components within human carotid atherosclerotic specimens.
  • To establish a foundation for automated and rapid atherosclerotic biopsy analysis.

Main Methods:

  • Combined second-harmonic generation (SHG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging microscopy (FLIM).
  • Acquisition of morphological and molecular information from ex vivo human carotid artery specimens.
  • Analysis of lifetime, TPEF-to-SHG ratio, and image patterns for tissue discrimination.

Main Results:

  • Successfully discriminated between various tissue types within atherosclerotic plaques.
  • Demonstrated the capability of multimodal nonlinear microscopy to provide detailed plaque insights.
  • Generated combined TPEF/SHG maps of atherosclerotic carotid specimens.

Conclusions:

  • Multimodal nonlinear optical microscopy is a powerful label-free tool for atherosclerotic plaque characterization.
  • The developed methodology enables detailed tissue discrimination based on optical properties.
  • This approach holds potential for future automated diagnostics and broader applications in pathology.

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