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: Overview01:20

Raman Spectroscopy: Overview

327
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...
327
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

298
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...
298

You might also read

Related Articles

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

Sort by
Same author

Integration of Raman spectroscopy and chemometric modeling to study lactose effects on human glioblastoma brain cells.

RSC advances·2026
Same author

Biochemical Signatures of L-Carnitine-Induced Changes in Brain Cancer Cells Revealed by Confocal Raman Imaging: A Preliminary Study.

Sensors (Basel, Switzerland)·2026
Same author

Lipid Droplets as Cellular Sensors of Lipid Metabolic Reprogramming in Colon Cancer: Insights from Essential Amino Acid Supplementation Using Raman Spectroscopy and Imaging.

Molecules (Basel, Switzerland)·2026
Same author

All-trans-retinal as a modulator of metabolic and mitochondrial signatures in non-tumorigenic and malignant breast cells: a Raman-based approach.

Mikrochimica acta·2025
Same author

Raman Spectroscopy and Imaging Reveal the Effect of β-Carotene Supplementation on Brain Cancer Cells.

Biochemistry·2025
Same author

Modifications of Cytochrome <i>c</i> by Retinoic Acid Play a Crucial Role in Mitochondrial Dysfunction of Triple-Positive Human Breast Cancer Cells: Raman Spectroscopy and Imaging Study.

ACS omega·2025

Related Experiment Video

Updated: Jun 12, 2025

Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors
11:52

Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors

Published on: June 18, 2013

11.0K

A Novel HER2 Protein Identification Methodology in Breast Cancer Cells Using Raman Spectroscopy and Raman Imaging: An

Halina Abramczyk1, Jakub Maciej Surmacki1, Monika Kopeć1

  • 1Laboratory of Laser Molecular Spectroscopy, Department of Chemistry, Institute of Applied Radiation Chemistry, Lodz University of Technology, Wroblewskiego 15, 93-590Lodz, Poland.

Journal of Medicinal Chemistry
|September 21, 2024
PubMed
Summary

A novel Raman spectroscopy and imaging technique shows strong correlation with conventional human epidermal growth factor receptor-2 (HER2) testing in breast cancer cell lines. This AI-enhanced method may offer advantages over current diagnostic approaches.

More Related Videos

Highly-Multiplexed Tissue Imaging with Raman Dyes
07:18

Highly-Multiplexed Tissue Imaging with Raman Dyes

Published on: April 21, 2022

2.8K
Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy
07:13

Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

Published on: May 16, 2022

1.9K

Related Experiment Videos

Last Updated: Jun 12, 2025

Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors
11:52

Analysis of Targeted Viral Protein Nanoparticles Delivered to HER2+ Tumors

Published on: June 18, 2013

11.0K
Highly-Multiplexed Tissue Imaging with Raman Dyes
07:18

Highly-Multiplexed Tissue Imaging with Raman Dyes

Published on: April 21, 2022

2.8K
Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy
07:13

Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy

Published on: May 16, 2022

1.9K

Area of Science:

  • Biomedical Engineering
  • Cancer Diagnostics
  • Spectroscopy

Background:

  • Conventional methods like immunohistochemistry (IHC) and in situ hybridization (ISH) for human epidermal growth factor receptor-2 (HER2) quantification in breast cancer have limitations.
  • Accurate HER2 status determination is crucial for guiding targeted therapy in breast cancer.
  • There is a need for more precise and potentially advantageous diagnostic methodologies.

Purpose of the Study:

  • To explore the utility of a novel immunodetection technique combining Raman spectroscopy, Raman imaging, and artificial intelligence for HER2 status assessment.
  • To evaluate the correlation between this novel Raman-based method and conventional HER2 testing (IHC and ISH).
  • To assess the potential advantages of Raman spectroscopy and imaging over current diagnostic methods for HER2 quantification.

Main Methods:

  • Utilized Raman spectroscopy and Raman imaging for HER2 expression analysis in various breast cancer cell lines.
  • Employed artificial intelligence models in conjunction with Raman data.
  • Correlated Raman measurements with results from conventional IHC and ISH analyses.
  • Tested on a range of cell lines including normal, triple-positive, and triple-negative breast cancer models.

Main Results:

  • Demonstrated a strong linear correlation (R²=0.9816, p=0.05) between Raman measurements and IHC analysis for HER2 status.
  • Raman spectroscopy and imaging showed potential for accurate HER2 quantification across different breast cancer phenotypes.
  • The novel method was tested on cell lines representing normal, triple-positive, and triple-negative breast cancer.

Conclusions:

  • Raman spectroscopy and imaging, enhanced by AI, present a promising alternative for HER2 status determination in breast cancer.
  • This technique shows high concordance with established methods like IHC.
  • The findings suggest potential advantages for Raman-based diagnostics in clinical settings, offering improved precision or efficiency.