ArticleFrontiers in bioengineering and biotechnology2022
Single shot quantitative polarized light imaging system for rapid planar biaxial testing of soft tissues.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Full-field analysis indicates late reperfusion therapy broadens and mechanically smooths the borderzone during post-infarction inflammation.Acta biomaterialia · 2026Article
- Multi-axial strain mapping to characterise structure and material properties of the human hip capsule.PloS one · 2026Article
- Full-Field Assessment of Geometry and Collagenous Architecture of Porcine Valve Leaflets via Laser Micrometry and Quantitative Polarized Light Imaging.Journal of biophotonics · 2025Article
- Quantification of age-related changes in the structure and mechanical function of skin with multiscale imaging.GeroScience · 2024Article
- Effect of matrix properties on transmission and reflectance mode division-of-focal-plane Stokes polarimetry.Journal of biomedical optics · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
Quantitative Polarized Light Imaging (QPLI) is an established technique used to compute the orientation of collagen fibers based on their birefringence. QPLI systems typically require rotating linear polarizers to obtain sufficient data to estimate orientation, which limits acquisition speeds and is not ideal for its application to mechanical testing. In this paper, we present a QPLI system designed with no moving parts; a single shot technique which is ideal to characterize collagen fiber orientation and kinematics during mechanical testing. Our single shot QPLI system (ssQPLI) sorts polarized light into four linear polarization states that are collected simultaneously by four cameras. The ssQPLI system was validated using samples with known orientation and retardation, and we demonstrate its use with planar biaxial testing of mouse skin. The ssQPLI system was accurate with a mean orientation error of 1.35° ± 1.58°. Skin samples were tested with multiple loading protocols and in each case the mean orientation of the collagen network reoriented to align in the direction of primary loading as expected. In summary, the ssQPLI system is effective at quantifying collagen fiber organization, and, when combined with mechanical testing, can rapidly provide pixel-wise measures of fiber orientation during biaxial loading.
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Registered trials
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