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Capturing sclera anisotropy using direct collagen fiber models: linking microstructure to macroscopic mechanical
Fengting Ji1,2, Xuehuan He1, Frederick Sebastian3
1Laboratory of Ocular Biomechanics, Department of Ophthalmology, University of Pittsburgh Medical Center, 1622 Locust St, Rm 7.382, Pittsburgh, PA, 15219, USA.
Direct fiber modeling accurately predicts sclera mechanics by capturing 3D fiber architecture. This approach links tissue structure to mechanical behavior, outperforming conventional models for anisotropic soft tissues.
Area of Science:
- Biomechanics
- Materials Science
- Tissue Engineering
Background:
- Collagen fibers are crucial for soft tissue mechanical properties, particularly in the sclera.
- Traditional models often use statistical fiber representations, potentially overlooking key structural contributions to tissue behavior.
Purpose of the Study:
- To refine a direct fiber modeling approach for explicit representation of scleral fiber bundles.
- To capture specimen-specific 3D fiber architecture and anisotropic mechanics of ovine sclera.
Main Methods:
- Extracted fiber architecture from ovine sclera using polarized light microscopy.
- Reconstructed 3D fiber orientations and compared them with histological data (adjusted R² > 0.89).
- Determined material parameters via inverse fitting to equi-biaxial tests and validated against non-equi-biaxial conditions.
Main Results:
- Reconstructed fiber orientations showed strong agreement with histological findings.
- Parameters derived from equi-biaxial tests accurately predicted mechanical responses under various non-equi-biaxial loading conditions.
- The direct fiber model inherently captured tissue anisotropy, unlike conventional models.
Conclusions:
- Direct fiber modeling effectively links scleral fibrous structure to macroscopic mechanical behavior.
- This approach offers a promising alternative to conventional models for understanding anisotropic soft tissue mechanics.
- The study highlights the importance of explicit fiber representation for accurate biomechanical predictions.
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