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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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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...
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Raman Spectroscopy Instrumentation: Overview01:26

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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...
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Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

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Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
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Force Classification01:22

Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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Classification of Neurotransmitters01:30

Classification of Neurotransmitters

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Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
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Classification of Leukocytes01:30

Classification of Leukocytes

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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
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Related Experiment Video

Updated: Feb 9, 2026

Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
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Accurate classification of ependymomas and medulloblastomas using Raman spectroscopy and pilot transcriptomic

Yuki Kawamoto1, Yoshiko Okita2, Kenta Temma3

  • 1Department of Neurosurgery, Graduate School of Medicine, The University of Osaka, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|February 7, 2026
PubMed
Summary

Raman spectroscopy accurately distinguished posterior fossa ependymomas and medulloblastomas in tissue samples. This label-free technique shows promise for improving cancer diagnostics and surgical decisions.

Keywords:
EpendymomaMachine learningMedulloblastomaRaman spectroscopyTranscriptomic profiling

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Area of Science:

  • Oncology
  • Biochemistry
  • Spectroscopy

Background:

  • Accurate differentiation of posterior fossa tumors like ependymomas and medulloblastomas is crucial for patient outcomes.
  • Current diagnostic methods can be time-consuming and may require invasive procedures.

Purpose of the Study:

  • To evaluate the efficacy of Raman spectroscopy in discriminating between ependymomas and medulloblastomas.
  • To explore the potential of Raman spectroscopy as a complementary diagnostic tool in neuro-oncology.

Main Methods:

  • Retrospective analysis of Raman spectra from 34 frozen and formalin-fixed, paraffin-embedded (FFPE) tumor specimens.
  • Utilized principal component analysis-support vector machine (PCA-SVM) classifier with fivefold cross-validation.
  • Pilot spatial transcriptomics analysis on FFPE sections using the 10× Genomics Xenium In Situ platform.

Main Results:

  • Raman spectroscopy achieved >90% accuracy in distinguishing ependymomas from medulloblastomas.
  • Identified distinct spectral signatures: higher lipid bands in ependymomas and higher deoxyhemoglobin bands in medulloblastomas.
  • Observed spectral differences correlated with biochemical composition (lipids, heme) and tissue context.

Conclusions:

  • Raman spectroscopy is a powerful label-free technique for differentiating posterior fossa ependymomas and medulloblastomas.
  • Findings suggest potential for Raman spectroscopy to aid surgical and therapeutic decision-making in neuro-oncology.
  • Further prospective studies are needed to validate clinical generalizability and intraoperative translation.