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Raman Spectroscopy: Overview01:20

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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.
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Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
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Microsecond Scale Vibrational Spectroscopic Imaging by Multiplex Stimulated Raman Scattering Microscopy.

Chien-Sheng Liao1, Mikhail N Slipchenko1, Ping Wang1

  • 1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.

Light, Science & Applications
|July 14, 2015
PubMed
Summary

We developed microsecond-scale Raman spectroscopic imaging for label-free cellular analysis. This breakthrough enables faster, more sensitive detection of cellular states and processes in real-time.

Keywords:
Optical microscopyRaman scatteringVibrational spectroscopy

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Area of Science:

  • Biophotonics
  • Spectroscopy
  • Cellular Imaging

Background:

  • Label-free monitoring of cellular states and processes requires real-time vibrational spectroscopic imaging.
  • Current Raman spectroscopic imaging is limited to millisecond-to-second acquisition speeds, hindering the study of highly dynamic systems.

Purpose of the Study:

  • To achieve microsecond-scale vibrational spectroscopic imaging for enhanced cellular analysis.
  • To overcome the speed limitations of conventional Raman spectroscopic imaging.

Main Methods:

  • Developed a lock-in-free parallel detection method for spectrally dispersed stimulated Raman scattering signals.
  • Utilized a homebuilt tuned amplifier array for rapid spectral acquisition (32 microseconds).
  • Incorporated multivariate curve resolution analysis for data interpretation.

Main Results:

  • Achieved microsecond-scale Raman spectral acquisition with near shot-noise limited sensitivity.
  • Demonstrated compositional mapping of lipid droplets in live cells.
  • Successfully observed intracellular retinoid metabolism, differentiated fat droplets from protein-rich organelles in C. elegans, detected flowing tumor cells, and monitored in vivo drug diffusion through skin.

Conclusions:

  • The developed technique enables high-speed, label-free compositional analysis of cellular compartments.
  • Opens opportunities for high-throughput spectral profiling of single cells in flow cytometry.
  • Advances real-time monitoring of cellular dynamics and biological processes.