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Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
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X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection.

Sasha Murokh1,2, Alexander Alekseev1,3, Viacheslav Kubytskyi1,4

  • 1Matur UK Ltd., 5 New Street Square, London EC4A 3TW, UK.

Molecules (Basel, Switzerland)
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

X-ray scattering can identify fibroadenomas by analyzing collagen structure, complementing existing methods. This technique uses water reflexes and machine learning for accurate cancer biopsy sample classification.

Keywords:
X-ray scatteringcancer detectioncollagenfibroadenomastructural biomarkerswater molecules

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Area of Science:

  • Biophysics
  • Materials Science
  • Medical Imaging

Background:

  • X-ray scattering provides structural biomarkers for cancer biopsy analysis.
  • Lipid reflexes differentiate cancerous from benign tissues, but not fibroadenomas.

Purpose of the Study:

  • To identify fibroadenomas using X-ray scattering of collagen.
  • To investigate collagen structure modifications reflected in water diffraction patterns.

Main Methods:

  • X-ray scattering analysis of tissue samples.
  • Two-dimensional Fourier transformation of water diffraction patterns.
  • Machine learning algorithms for classification.

Main Results:

  • Fibroadenoma samples were successfully recognized via collagen X-ray scattering.
  • Changes in collagen structure correlated with alterations in water reflexes.
  • High classification accuracy achieved using both synchrotron and laboratory data.

Conclusions:

  • X-ray scattering of collagen is a viable method for fibroadenoma identification.
  • Analysis of water diffraction patterns offers a novel approach for cancer diagnostics.
  • This technique enhances the triage of cancer biopsy samples.