Related Experiment Video
Updated: Jan 7, 2026
10:57
Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
Published on: February 1, 2022
3.5K
The Intraoperative Utility of Raman Spectroscopy for Neurosurgical Oncology.
Jia-Shu Chen1, Jun Yeop Oh1, Todd C Hollon2
1Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Cancers
|December 30, 2025
Summary
Raman spectroscopy offers accurate, real-time intraoperative brain tumor detection and molecular classification. Advancements in artificial intelligence enhance speed, improving surgical resection and patient outcomes.
Area of Science:
- Neurosurgery
- Oncology
- Spectroscopy
Background:
- Maximal safe surgical resection is crucial in brain tumor surgery.
- Intraoperative modalities aid in distinguishing tumor from normal tissue.
- Raman spectroscopy provides label-free, real-time molecular evaluation.
Purpose of the Study:
- To review landmark studies on Raman spectroscopy in neurosurgery.
- To highlight current applications and limitations of this technology.
- To discuss its impact on surgical decision-making.
Main Methods:
- Literature review of studies using Raman spectroscopy in neurosurgery.
- Analysis of accuracy in detecting various brain tumors.
- Evaluation of AI integration for molecular classification.
Main Results:
- Raman spectroscopy achieves >90% accuracy in detecting glial neoplasms, meningiomas, and metastases.
- Intraoperative detection of glioma mutations (IDH, 1p19q, ATRX) is now possible.
- AI integration with stimulated Raman histology significantly reduces analysis time.
Conclusions:
- Raman spectroscopy is transforming intraoperative brain tumor surgery.
- It enables precise tumor margin identification and molecular subtyping.
- Further optimization is needed to address spectral noise and platform variability.
