Refractive index of human articular cartilage varies with tissue structure and composition

Bilour Khan, Ervin Nippolainen, Fatemeh Shahini, Jari Torniainen, Santtu Mikkonen, Nonappa, Alexey Popov, Juha Toyras, Isaac O. Afara

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Optical properties of biological tissues, such as refractive index, are fundamental properties, intrinsically linked to a tissue s composition and structure. This study aims to investigate the variation of refractive index (RI) of human articular cartilage along the tissue depth (via collagen fibril orientation and optical density) and integrity (based on Mankin and Osteoarthritis Research Society International (OARSI) scores). The results show the relationship between RI and PG content ( p=0.042), collagen orientation ( p=0.037), and OARSI score ( p=0.072). When taken into account, the outcome of this study suggests that the RI of healthy cartilage differs from that of pathological cartilage ( p=0.072). This could potentially provide knowledge on how progressive tissue degeneration, such as osteoarthritis, affects changes in cartilage RI, which can, in turn, be used as a potential optical biomarker of tissue pathology.

Original languageEnglish
Pages (from-to)2205-2214
Number of pages10
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume40
Issue number12
DOIs
Publication statusPublished - 21 Nov 2023
Publication typeA1 Journal article-refereed

Funding

Acknowledgment. Dr. Afara acknowledges funding from the Academy of Finland and Erkko Foundation. We acknowledge the Academy of Finland’s Photonics Research and Innovation (PREIN) flagship for financial support.

FundersFunder number
Jane and Aatos Erkko Foundation
Academy of Finland

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Atomic and Molecular Physics, and Optics
    • Computer Vision and Pattern Recognition

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