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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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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Updated: Jun 19, 2026

Highly-Multiplexed Tissue Imaging with Raman Dyes
07:18

Highly-Multiplexed Tissue Imaging with Raman Dyes

Published on: April 21, 2022

Spatially multiplexed random-access Raman probe for in vivo tissue measurements.

Wataru Sakata1, Atsuko Fujihara2, Taisuke Ota3

  • 1Department of Applied Physics, Graduate School of Engineering, The University of Osaka, Osaka, Japan.

Biomedical Optics Express
|June 18, 2026
PubMed
Summary
This summary is machine-generated.

We developed a novel Raman spectroscopy probe for rapid, label-free tissue identification in vivo. This high-throughput system achieves accurate nerve discrimination, paving the way for enhanced surgical navigation.

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Surgical Technology

Background:

  • Raman spectroscopy offers label-free biological tissue identification.
  • Clinical use is hindered by low-throughput spectral acquisition.
  • Need for faster, in vivo methods for intraoperative guidance.

Purpose of the Study:

  • To develop a high-throughput, spatially multiplexed Raman probe for simultaneous in vivo spectral acquisition.
  • To enable rapid, label-free intraoperative tissue identification.
  • To improve surgical navigation accuracy.

Main Methods:

  • Developed a spatially multiplexed random-access Raman probe.
  • Utilized a custom fiber bundle and spatial light modulator for parallel spectral acquisition (up to 1718 spectra per exposure).
  • Validated in vivo measurements on canine peripheral nerves and discriminant analysis on rat nerve/non-nerve tissues.

Main Results:

  • Demonstrated feasibility for intraoperative tissue identification in vivo within 5 seconds.
  • Achieved 92.5% accuracy and sensitivity for nerve discrimination using discriminant analysis.
  • Enabled simultaneous spectral acquisition from multiple, arbitrarily selected locations.

Conclusions:

  • The developed Raman probe significantly increases spectral acquisition throughput for in vivo measurements.
  • The system facilitates efficient and accurate intraoperative tissue identification, particularly for nerve discrimination.
  • This technology provides a foundation for advanced surgical navigation systems.