Paper
8 May 2014 Analysis of human knee osteoarthritic cartilage using polarization sensitive second harmonic generation microscopy
Rajesh Kumar, Kirsten M. Grønhaug, Elisabeth I. Romijn, Jon O. Drogset‎, Magnus B. Lilledahl
Author Affiliations +
Abstract
Osteoarthritis is one of the most prevalent joint diseases in the world. Although the cause of osteoarthritis is not exactly clear, the disease results in a degradation of the quality of the articular cartilage including collagen and other extracellular matrix components. We have investigated alterations in the structure of collagen fibers in the cartilage tissue of the human knee using mulitphoton microscopy. Due to inherent high nonlinear susceptibility, ordered collagen fibers present in the cartilage tissue matrix produces strong second harmonic generation (SHG) signals. Significant morphological differences are found in different Osteoarthritic grades of cartilage by SHG microscopy. Based on the polarization analysis of the SHG signal, we find that a few locations of hyaline cartilage (mainly type II collagen) is being replaced by fibrocartilage (mainly type I cartilage), in agreement with earlier literature. To locate the different types and quantify the alteration in the structure of collagen fiber, we employ polarization-SHG microscopic analysis, also referred to as _-tensor imaging. The image analysis of p-SHG image obtained by excitation polarization measurements would represent different tissue constituents with different numerical values at pixel level resolution.
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Rajesh Kumar, Kirsten M. Grønhaug, Elisabeth I. Romijn, Jon O. Drogset‎, and Magnus B. Lilledahl "Analysis of human knee osteoarthritic cartilage using polarization sensitive second harmonic generation microscopy ", Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 91292Z (8 May 2014); https://doi.org/10.1117/12.2051989
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Cited by 3 scholarly publications.
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KEYWORDS
Cartilage

Collagen

Second-harmonic generation

Tissues

Polarization

Microscopy

Harmonic generation

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