Mid-infrared spectral micro-imaging of inflammatory skin lesions.

Fiche publication


Date publication

mai 2018

Journal

Journal of biophotonics

Auteurs

Membres identifiés du Cancéropôle Est :
Pr PIOT Olivier


Tous les auteurs :
Sebiskveradze D, Bertino B, Gaydou V, Dugaret AS, Roquet M, Zugaj DE, Voegel JJ, Jeannesson P, Manfait M, Piot O

Résumé

Skin is one of the most important organs of the human body because of its characteristics and functions. There are many alterations, either pathological or physiological, that can disturb its functioning. However, at present all methods used to investigate skin diseases, non-invasive or invasive, are based on clinical examinations by physicians. Thus, diagnosis, prognosis and therapeutic management rely on the expertise of the practitioner, the quality of the method and the accessibility of distinctive morphological characteristics of each lesion. To overcome the high sensitivity of these parameters, techniques based on more objective criteria must be explored. Vibrational spectroscopy has become as a key technique for tissue analysis in the biomedical research field. Based on a non-destructive light/matter interaction, this tool provides information about specific molecular structure and composition of the analyzed sample, thus relating to its precise physiopathological state and permitting to distinguish lesional from normal tissues. This label-free optical method can be performed directly on the paraffin embedded tissue sections without chemical de-waxing. In this study, the potential of the infrared micro-spectroscopy, combined with data classification methods was demonstrated, to characterize at the tissular level different types of inflammatory skin lesions, and this independently from conventional histopathology.

Mots clés

IR spectral microimaging, predictive classification, quantitative spectral histopathology, skin inflammation, unsupervised clustering

Référence

J Biophotonics. 2018 May 1;:e201700380