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Related Experiment Video

Updated: Jun 24, 2025

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

In situ brain tumor detection using a Raman spectroscopy system-results of a multicenter study.

Katherine Ember^1,2, Frédérick Dallaire^1,2, Arthur Plante^1,2

¹Polytechnique Montréal, Montreal, Canada.

Scientific Reports

|June 10, 2024

Summary

The Sentry System accurately distinguishes brain tumors from healthy brain tissue in real-time during surgery. This novel device uses Raman spectroscopy and AI to improve tumor removal and patient outcomes.

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On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

Published on: May 31, 2020

Area of Science:

Neurosurgery
Medical Technology
Spectroscopy

Background:

Distinguishing brain tumors from healthy tissue during surgery is challenging.
Accurate tumor margin identification is crucial for effective surgical resection.
Current methods lack real-time, label-free tissue differentiation.

Purpose of the Study:

To evaluate the Sentry System's ability to differentiate common brain tumors from non-tumoral brain tissue.
To assess the real-time, in situ diagnostic performance of the Sentry System.
To validate the device's accuracy across glioblastoma, brain metastases, and meningioma.

Main Methods:

A multicenter study involving 67 patients undergoing brain tumor surgery.
Acquisition of 976 in situ Raman spectroscopy measurements.
Utilized machine learning classifiers for label-free tissue analysis.

Main Results:

The Sentry System achieved high diagnostic accuracies: 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas.
The device successfully discriminated tumor-containing tissue from non-tumoral brain in real time.
Spectroscopic data and tissue specimens were colocalized for validation.

Conclusions:

The Sentry System demonstrates significant potential for real-time, intraoperative brain tumor detection.
This technology can aid surgeons in achieving more precise tumor resection.
The Sentry System offers a label-free approach to enhance surgical decision-making.