ArticleJournal of biomedical optics2024
Study on anisotropy orientation due to well-ordered fibrous biological microstructures.
Article in Journal of biomedical optics, 2024. 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, 3 citations in OpenAlex.
- Synchronized Chromatin Reorganization as a Key Biomarker in Anesthetic Effects on Plants.Chemical & biomedical imaging · 2026Article
- Label-free differentiation of classical and hypermobile Ehlers-Danlos syndromes using Mueller matrix polarimetry.Biophotonics discovery · 2026Article
- Open Challenges and Opportunities in Piezoelectricity for Tissue Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Mueller matrix polarimetry for quantitative evaluation of the Achilles tendon injury recovery.Frontiers of optoelectronics · 2024Article
- Stereoscopic spatial graphical method of Mueller matrix: Global-Polarization Stokes Ellipsoid.Frontiers of optoelectronics · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significance: Most biological fibrous tissues have anisotropic optical characteristics, which originate from scattering by their fibrous microstructures and birefringence of biological macromolecules. The orientation-related anisotropic interpretation is of great value in biological tissue characterization and pathological diagnosis. Aim: We focus on intrinsic birefringence and form birefringence in biological tissue samples. By observing and comparing the forward Mueller matrix of typical samples, we can understand the interpretation ability of orientation-related polarization parameters and further distinguish the sources and trends of anisotropy in tissues. Approach: For glass fiber, silk fiber, skeletal muscle, and tendon, we construct a forward measuring device to obtain the Mueller matrix image and calculate the anisotropic parameters related to orientation. The statistical analysis method based on polar coordinates can effectively analyze the difference in anisotropic parameters. Results: For those birefringent fibers, the statistical distribution of fast-axis values derived from Mueller matrix polar decomposition was found to exhibit bimodal characteristics, which is a key point in distinguishing the single-layer birefringent fiber sample from a layered, multioriented fibrous sample. The application conditions and interference factors of anisotropic orientation parameters are analyzed. Based on the parameters extracted from the orientation bimodal distribution, we can evaluate the relative change trend of intrinsic birefringence and form birefringence in anisotropic samples. Conclusions: The cross-vertical bimodal distribution of the fast axis of anisotropic fibers is beneficial to accurately analyze the anisotropic changes in biological tissues. The results imply the potential of anisotropic orientation analysis for applications in pathological diagnosis.
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