19 May 2014 Raman spectroscopy: <italic<in vivo</italic< quick response code of skin physiological status
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J. of Biomedical Optics, 19(11), 111603 (2014). doi:10.1117/1.JBO.19.11.111603
Dermatologists need to combine different clinically relevant characteristics for a better understanding of skin health. These characteristics are usually measured by different techniques, and some of them are highly time consuming. Therefore, a predicting model based on Raman spectroscopy and partial least square (PLS) regression was developed as a rapid multiparametric method. The Raman spectra collected from the five uppermost micrometers of 11 healthy volunteers were fitted to different skin characteristics measured by independent appropriate methods (transepidermal water loss, hydration, pH, relative amount of ceramides, fatty acids, and cholesterol). For each parameter, the obtained PLS model presented correlation coefficients higher than R 2 =0.9 . This model enables us to obtain all the aforementioned parameters directly from the unique Raman signature. In addition to that, in-depth Raman analyses down to 20 μm showed different balances between partially bound water and unbound water with depth. In parallel, the increase of depth was followed by an unfolding process of the proteins. The combinations of all these information led to a multiparametric investigation, which better characterizes the skin status. Raman signal can thus be used as a quick response code (QR code). This could help dermatologic diagnosis of physiological variations and presents a possible extension to pathological characterization.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Raoul Vyumvuhore, Ali M. Tfayli, Olivier Piot, Maud Le Guillou, Nathalie Guichard, Michel Manfait, Arlette Baillet-Guffroy, "Raman spectroscopy: <italic<in vivo</italic< quick response code of skin physiological status," Journal of Biomedical Optics 19(11), 111603 (19 May 2014). https://doi.org/10.1117/1.JBO.19.11.111603


Raman spectroscopy

In vivo imaging

Data modeling

Confocal microscopy


Imaging spectroscopy

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