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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.
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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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Quantitative Analysis01:12

Quantitative Analysis

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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pH Scale02:41

pH Scale

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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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Related Experiment Video

Updated: Jan 30, 2026

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
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Efficient quantitative hyperspectral image unmixing method for large-scale Raman micro-spectroscopy data analysis.

E G Lobanova1, S V Lobanov2

  • 1School of Biosciences, Cardiff University, Cardiff, CF10 3AX, United Kingdom.

Analytica Chimica Acta
|January 22, 2019
PubMed
Summary
This summary is machine-generated.

A new Quantitative Hyperspectral Image Unmixing (Q-HIU) method enhances Raman micro-spectroscopy analysis. This efficient technique accurately quantifies biochemical constituents in complex biological samples like atherosclerotic tissues.

Keywords:
Baseline correctionBiochemical quantificationHyperspectral image analysisMultivariate curve resolutionNon-negative matrix factorizationRaman spectroscopy

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Area of Science:

  • Biomedical Optics
  • Chemical Imaging
  • Computational Biology

Background:

  • Raman micro-spectroscopy provides label-free, chemically specific imaging.
  • Hyperspectral data requires advanced computational methods for accurate biochemical analysis.
  • Existing methods face challenges in noise reduction and quantification of complex samples.

Purpose of the Study:

  • To develop an efficient Quantitative Hyperspectral Image Unmixing (Q-HIU) method for large-scale Raman micro-spectroscopy data.
  • To improve the accuracy and speed of biochemical constituent analysis in complex biological tissues.
  • To validate the Q-HIU method on human atherosclerotic aortic tissues.

Main Methods:

  • Singular Value Decomposition with Automatic Divisive Correlation for noise filtering.
  • Bottom Gaussian Fitting algorithm for robust fluorescent background subtraction.
  • Quantitative Unsupervised/Partially Supervised Non-negative Matrix Factorization for spectral unmixing.

Main Results:

  • Q-HIU significantly improves accuracy and reduces computational time compared to state-of-the-art methods.
  • The method successfully quantified biochemical components, including cholesterol, triglycerides, and calcium hydroxyapatite, in atherosclerotic tissues.
  • Q-HIU detected minor components like calcium hydroxyapatite (0.09%) and β-carotene (0.04%) with high accuracy.

Conclusions:

  • The Q-HIU method offers an efficient and accurate approach for analyzing large-scale Raman hyperspectral data.
  • It enables precise quantification of biochemical compositions in complex biological samples, including disease tissues.
  • Q-HIU has potential applications in understanding disease pathology and identifying biomarkers, such as oxidatively modified lipids in atherosclerosis.