Poster + Paper
14 March 2023 Pathological analysis of degenerative changes in humeral osteoarthritis using Raman spectroscopy
Author Affiliations +
Proceedings Volume 12363, Multiscale Imaging and Spectroscopy IV; 1236309 (2023) https://doi.org/10.1117/12.2650088
Event: SPIE BiOS, 2023, San Francisco, California, United States
Conference Poster
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryuji Asaoka, Hiroshi Kiyomatsu, Akihiro Jono, Masaki Takao, Takashi Katagiri, and Yusuke Oshima "Pathological analysis of degenerative changes in humeral osteoarthritis using Raman spectroscopy", Proc. SPIE 12363, Multiscale Imaging and Spectroscopy IV, 1236309 (14 March 2023); https://doi.org/10.1117/12.2650088
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Raman spectroscopy

Cartilage

Principal component analysis

Collagen

Head

Tissues

Matrices

Back to Top