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Summary

Atomic force microscopy (AFM) is vital for biological studies, but artifacts can arise from sample preparation and instrument use. This protocol addresses common pitfalls in AFM analysis of cartilage to improve data accuracy.

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Area of Science:

  • Biomaterials Science
  • Biophysics
  • Orthopedics

Background:

  • Atomic force microscopy (AFM) is a powerful tool for nanoscale biological analysis.
  • Methodological challenges, including sample characteristics and preparation, can introduce artifacts in AFM studies.
  • Osteoarthritis (OA) research benefits from precise nanoscale measurements of articular cartilage.

Purpose of the Study:

  • To provide a protocol for generating, grading, and classifying ex vivo human articular cartilage explants.
  • To identify and address common pitfalls in AFM sample preparation, data acquisition, and analysis for cartilage.
  • To enhance the reliability of AFM in studying osteoarthritis progression in native cartilage.

Main Methods:

  • Development of a step-by-step protocol for ex vivo cartilage disc preparation and grading.
  • Utilizing large 2D mosaic fluorescence imaging for whole tissue classification.
  • Detailed presentation of AFM procedures, including sample-tip interactions and data analysis.
  • Exemplification of issues using healthy and osteoarthritic human articular cartilage explants.

Main Results:

  • Demonstration of how sample preparation, degeneration, and tip-sample interactions impact AFM data.
  • Identification of common artifacts and challenges encountered during AFM analysis of cartilage.
  • Establishment of a method to visually classify cartilage degeneration stages using fluorescence imaging.

Conclusions:

  • Understanding and mitigating AFM artifacts is crucial for accurate data acquisition and interpretation in cartilage research.
  • This protocol enhances the reliability of AFM for investigating osteoarthritis in aged, native human cartilage.
  • The findings are essential for contextualizing AFM results within broader scientific understanding of cartilage degeneration.