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Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
Published on: November 11, 2020
Quantification of collagen fiber organization using three-dimensional Fourier transform-second-harmonic generation
Tung Yuen Lau1, Raghu Ambekar, Kimani C Toussaint
1Photonics Research of Bio/nano Environments (PROBE), Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 1206 W Green St, Urbana, Illinois 61801, USA.
Optics Express
|October 6, 2012
Summary
We developed three-dimensional Fourier transform-second-harmonic generation (3D FT-SHG) imaging to analyze collagen fiber organization in biological tissues. This method quantifies 3D collagen structure, revealing tissue layers and fiber angles.
Area of Science:
- Biomedical Imaging
- Biophysics
- Materials Science
Background:
- Collagen fiber organization is crucial for tissue function and integrity.
- Existing imaging techniques often lack the 3D resolution to fully characterize complex fibrillar structures.
- Quantifying collagen organization is essential for understanding tissue mechanics and disease progression.
Purpose of the Study:
- To introduce and validate three-dimensional Fourier transform-second-harmonic generation (3D FT-SHG) imaging.
- To enable quantitative analysis of collagen fiber organization in 3D biological tissue samples.
- To demonstrate the technique's utility in characterizing fibrillar structures.
Main Methods:
- Generalization of two-dimensional FT-SHG to a three-dimensional imaging approach.
- Calculation of 3D preferred orientation within regions of interest.
- Classification of regions based on orientation anisotropy and average voxel intensity.
Main Results:
- Demonstrated the ability to quantify collagen fiber organization in 3D image stacks.
- Revealed the layered structure of collagen fibers in porcine sclera.
- Estimated the cut angle of collagen fibers in porcine tendon tissues.
Conclusions:
- 3D FT-SHG imaging provides a powerful tool for analyzing collagen organization in biological tissues.
- The technique offers promising potential for studying 3D fibrillar structures in various biological contexts.
- This method can aid in understanding tissue architecture and mechanical properties.
