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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

301
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...
301
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

295
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...
295

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Biochemical components of corneal stroma: a study on myopia classification based on Raman spectroscopy and deep

Zhe Yu1, Yong Li1, Tingyan Xing2,3,4

  • 1Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital, Affiliated People's Hospital of Northwest University), No 4. Jiefang Road, Xin-Cheng District, Xi'an 710004, Shaanxi, China.

Biomedical Optics Express
|January 16, 2025
PubMed
Summary

Raman spectroscopy reveals significant biochemical differences in corneal stroma across myopia levels. This technique shows potential for understanding myopia development.

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Area of Science:

  • Biochemistry
  • Ophthalmology
  • Spectroscopy

Background:

  • Myopia, a refractive error, involves changes in the eye's structure.
  • Understanding biochemical alterations in the cornea is crucial for myopia research.

Purpose of the Study:

  • To investigate biochemical differences in corneal stroma lenses among low, moderate, and high myopia.
  • To assess the utility of Raman spectroscopy in differentiating myopia severity.

Main Methods:

  • Collected Raman spectra from corneal stroma samples of 38 patients undergoing SMILE surgery.
  • Categorized patients into low, moderate, and high myopia groups.
  • Processed spectral data and employed statistical analyses (t-tests) and machine learning models (PLS-KNN, PCA-KNN).

Main Results:

  • Significant differences in Raman spectral peaks related to collagen, lipids, and nucleic acids were observed between myopia groups (P < 0.001).
  • The PLS-KNN model achieved high accuracy (95%) in classifying myopia severity.
  • Distinguishing between low and high myopia showed excellent performance with PLS-KNN (94.4% accuracy, 0.98 AUC).

Conclusions:

  • Raman spectroscopy effectively identifies biochemical variations in the corneal stroma correlating with myopia.
  • The findings suggest Raman spectroscopy is a promising tool for myopia pathogenesis research.
  • Biochemical signatures in the cornea may serve as biomarkers for myopia progression.