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Tomographic Imaging and Localization of Nanoparticles in Tissue Using Surface-Enhanced Spatially Offset Raman

Matthew E Berry1, Samantha M McCabe1, Sian Sloan-Dennison1

  • 1Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.

ACS Applied Materials & Interfaces
|July 8, 2022
PubMed
Summary
This summary is machine-generated.

Surface-enhanced spatially offset Raman spectroscopy (SESORS) can now accurately locate multiple objects within tissue. This advancement is crucial for developing SESORS for in vivo biomedical diagnostics.

Keywords:
RamanSERSSESORSSORSimagingnanoparticlestissue

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Medical Imaging

Background:

  • Surface-enhanced spatially offset Raman spectroscopy (SESORS) is a promising imaging technique.
  • A key challenge for clinical application is determining the precise 3D location of targets within tissue.

Purpose of the Study:

  • To investigate factors critical for SESORS' 3D positioning capability.
  • To develop methods for accurate interpretation of SESORS images for depth localization.
  • To enable SESORS for in vivo diagnostic applications.

Main Methods:

  • Investigated experimental factors of an in-house-built spatially offset Raman spectroscopy (SORS) system.
  • Analyzed the effects of spatial offset magnitude and geometry on locating nanoparticles (NPs) in tissue.
  • Introduced 'ratiometric SESORS imaging' for 3D localization of buried inclusions.

Main Results:

  • Identified 'linear offset-induced image drag' as a spatial distortion in SESORS.
  • Demonstrated the necessity of an annular SORS collection geometry to correct asymmetric effects.
  • Successfully imaged and discriminated between two distinct NP types at different depths using ratiometric SESORS.

Conclusions:

  • SESORS can accurately determine the 3D location of multiple objects within tissue.
  • Ratiometric SESORS imaging provides a robust method for locating buried inclusions.
  • These findings are vital for advancing SESORS towards clinical biomedical applications.