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Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
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Label-free brain tumor imaging using Raman-based methods.

Todd Hollon1, Daniel A Orringer2

  • 1University of Michigan, Ann Arbor, USA.

Journal of Neuro-Oncology
|February 21, 2021
PubMed
Summary
This summary is machine-generated.

Label-free Raman imaging techniques, including Raman spectroscopy, CARS microscopy, and stimulated Raman histology (SRH), offer real-time chemical and histologic data for brain tumor management. These methods detect microscopic tumor infiltration and aid in intraoperative diagnosis.

Keywords:
Coherent Raman imagingCoherent anti-Stokes Raman scattering microscopyIntraoperative pathologyLabel-free imagingMolecular imagingRaman spectroscopyStimulated Raman histologyStimulated Raman scattering microscopy

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Area of Science:

  • Neurosurgical Oncology
  • Biomedical Optics
  • Chemical Imaging

Background:

  • Label-free Raman-based imaging provides intrinsic biochemical contrast for tissue analysis.
  • Enables optical sectioning and detection of microscopic tumor infiltration.
  • Facilitates intraoperative diagnosis of brain tumor subtypes.

Purpose of the Study:

  • To review the application of three Raman-based imaging methods in neurosurgical oncology.
  • Highlighting Raman spectroscopy, CARS microscopy, and stimulated Raman histology (SRH).
  • To demonstrate their potential in improving brain tumor patient management.

Main Methods:

  • Raman spectroscopy for ex vivo and in vivo tissue chemical characterization.
  • Coherent anti-Stokes Raman scattering (CARS) microscopy and stimulated Raman scattering microscopy for submicron resolution imaging.
  • Intraoperative SRH with AI-assisted interpretation.

Main Results:

  • Raman spectroscopy differentiates normal and tumor-infiltrated tissues by macromolecule content.
  • CARS and SRH detect microscopic brain tumor infiltration in fresh specimens.
  • Raman-based methods show potential for intraoperative glioma molecular classification.

Conclusions:

  • Label-free Raman imaging enhances brain tumor patient management.
  • Improves detection of tumor infiltration and guides surgical resection.
  • Provides intraoperative histopathologic and molecular diagnostic capabilities.