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Osteoarthritis is the most common disease in articular cartilage. Raman spectroscopy is a promising tool for early detection of degenerative changes in cartilage matrix. In this study, surgically resected humeral heads of 14 patients were subjected to pathological analysis using Raman spectroscopy with principal component analysis and hierarchical clustering analysis. In the result, Raman spectral data of each specimen were divided into three major cluster reflecting the alteration in molecular composition of cartilage matrix. We also found histological characteristics in the cluster, suggesting that Raman spectrum is a biomarker to determine the condition of the cartilage tissue.
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