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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.
Hannah U. Holtkamp,Claude Aguergaray,Michel K. Nieuwoudt,Gus Grey,Federico Marini,Cather Simpson, andPaul 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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Hannah U. Holtkamp, Claude Aguergaray, Michel K. Nieuwoudt, Gus Grey, Federico Marini, Cather Simpson, 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