Presentation
5 March 2021 Quantitative label-free characterisation and discrimination of osteoarthritis and rheumatoid arthritis based on hyperspectral autofluorescence features
Author Affiliations +
Abstract
Pain is currently assessed using subjective measurements, often not aligning with clinical symptoms. Therefore, objective pain level assessments, using minimally-invasive and molecular methods, are needed to assess disease activity and response to treatment in osteoarthritis and rheumatoid arthritis. We report sophisticated quantitative biochemical “signatures” from the label-free hyperspectral imaging (HSI) of cartilage tissue for the characterization of molecular composition, structure and functional status. Further study on sinuvium tissue provides evidence that HSI could be used as a novel technique to delineate disease state. Additionally, HSI could be used to objectively separate individuals based on pain severity providing molecular correlates of pain.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saabah B. Mahbub, Jared Campbell, Florence J. Lees, Anna Guller, Martin E. Gosnell, Ayad Anwer, Tania Crotti, Mihir D. Wechalekar, Mark R. Hutchinson, and Ewa Goldys "Quantitative label-free characterisation and discrimination of osteoarthritis and rheumatoid arthritis based on hyperspectral autofluorescence features", Proc. SPIE 11655, Label-free Biomedical Imaging and Sensing (LBIS) 2021, 116551I (5 March 2021); https://doi.org/10.1117/12.2578486
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KEYWORDS
Arthritis

Cartilage

Hyperspectral imaging

Bone

Inflammation

Tissues

Visualization

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