Presentation
30 May 2022 Developing multimodal imaging data analysis techniques: understanding the skin biochemistry of discoid lupus erythematosus
Hannah U. Holtkamp, Claude Aguergaray, Michel K. Nieuwoudt, Gus Grey, Federico Marini, Cather Simpson, Paul Jarrett
Author Affiliations +
Abstract
Discoid Lupus Erythematosus is chronic autoimmune disease that disproportionately affects parts of the population. Presently, the biochemical events involved in the formation of the disease and elements of the pathophysiology are poorly understood, demonstrating a need for improved analysis. We present the results of our multimodal imaging combining Raman spectroscopy and mass spectrometry and their chemometric analysis and models. We distinguish physiological features and how they differ between healthy and DLE. We show that by fusing the data we are able to build a classification model that can differentiate the two with higher accuracy than either technique alone. The findings from this study can serve as a basis for improved biomedical diagnostics and better informed potential treatment options.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hannah U. Holtkamp, Claude Aguergaray, Michel K. Nieuwoudt, Gus Grey, Federico Marini, Cather Simpson, and Paul Jarrett "Developing multimodal imaging data analysis techniques: understanding the skin biochemistry of discoid lupus erythematosus", Proc. SPIE PC12144, Biomedical Spectroscopy, Microscopy, and Imaging II, PC121440F (30 May 2022); https://doi.org/10.1117/12.2621515
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KEYWORDS
Skin

Raman spectroscopy

Biochemistry

Multimodal imaging

Data analysis

Tissues

Biological research

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