Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

1.4K
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
1.4K
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

1.9K
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
1.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Temporalis Muscle Thickness as a Prognostic Factor for 30-Day, 90-Day, and Overall Mortality in Newly Diagnosed Glioblastoma.

Cureus·2026
Same author

Author Correction: Stereotactic radiosurgery for patients with brain metastases: current principles, expanding indications and opportunities for multidisciplinary care.

Nature reviews. Clinical oncology·2025
Same author

Novel use of 3D printing for preoperative dose estimation in the first case of GammaTile spine implantation.

Brachytherapy·2025
Same author

Lumbar Fusion and Decompression in American Indian, Alaskan Native, Native Hawaiian, and Pacific Islander Populations: Healthcare Disparities in Spine Surgery.

Cureus·2025
Same author

Stereotactic radiosurgery for patients with brain metastases: current principles, expanding indications and opportunities for multidisciplinary care.

Nature reviews. Clinical oncology·2025
Same author

Resident Opinions on Image Guidance for External Ventricular Drain Placement: A National Survey.

Neurosurgery practice·2025

Related Experiment Video

Updated: Feb 22, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.6K

Intraoperative Raman Spectroscopy.

Michelle Brusatori1, Gregory Auner2, Thomas Noh3

  • 1Department of Surgery, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI 48202, USA; Department of Biomedical Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI 48202, USA; Department of Smart Sensors and Integrated Microsystems, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI 48202, USA.

Neurosurgery Clinics of North America
|September 18, 2017
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy shows promise for real-time brain tumor margin evaluation during surgery. This technique can accurately distinguish cancerous tissue from healthy brain tissue, aiding surgeons in achieving complete tumor resection.

Keywords:
DiagnosticsIntraoperativeIn vivoMolecular signatureRaman spectroscopy

More Related Videos

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
09:57

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

7.7K
Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.6K

Related Experiment Videos

Last Updated: Feb 22, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.6K
Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
09:57

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

7.7K
Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.6K

Area of Science:

  • Neurosurgery
  • Biomedical Optics
  • Cancer Diagnostics

Background:

  • Surgical excision is crucial for brain tumor treatment, aiming for maximal tumor removal while preserving neurological function.
  • Current intraoperative techniques like stereotactic navigation and MRI face challenges in real-time tissue delineation.
  • Accurate identification of tumor margins is essential for improving patient outcomes and survival rates.

Purpose of the Study:

  • To evaluate the potential of Raman spectroscopy as an intraoperative tool for brain tumor margin assessment.
  • To determine if Raman spectroscopy can differentiate between normal brain tissue and neoplastic tissue in real time.
  • To establish the feasibility of using Raman spectroscopy for guiding surgical resection of brain tumors.

Main Methods:

  • Utilized Raman spectroscopy for in vitro analysis of brain tissue samples.
  • Compared spectral data from normal brain tissue, infiltrating cancer cells, and dense cancerous masses.
  • Assessed the specificity and accuracy of Raman spectroscopy in distinguishing between different tissue types.

Main Results:

  • Raman spectroscopy demonstrated high specificity in differentiating normal brain tissue from cancerous tissue.
  • The technique successfully identified infiltrating cancer cells and dense cancerous masses.
  • Experimental results indicate the feasibility of applying Raman spectroscopy in vivo for surgical guidance.

Conclusions:

  • Raman spectroscopy is a viable technology for intraoperative tissue evaluation during brain tumor surgery.
  • This technique offers a potential solution for real-time, physiologically confirmed tissue delineation.
  • Raman spectroscopy can aid surgeons in achieving more precise tumor resection, potentially improving patient survival and minimizing neurological deficits.