Mid-infrared spectral microimaging of inflammatory skin lesions
Autor: | Anne-Sophie Dugaret, Manon Roquet, David Sebiskveradze, Pierre Jeannesson, Vincent Gaydou, Johannes Voegel, Béatrice Bertino, Didier Zugaj, Michel Manfait, Olivier Piot |
---|---|
Přispěvatelé: | Biospectroscopie Translationnelle - EA 7506 (BIOSPECT), Université de Reims Champagne-Ardenne (URCA), GALDERMA R&D, Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne (URCA)-SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Pathology
medicine.medical_specialty [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] Mid infrared Normal tissue General Physics and Astronomy [SDV.CAN]Life Sciences [q-bio]/Cancer 02 engineering and technology [SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC] Skin Diseases 01 natural sciences General Biochemistry Genetics and Molecular Biology Lesion Spectroscopy Fourier Transform Infrared [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB] Cluster Analysis Humans Medicine General Materials Science ComputingMilieux_MISCELLANEOUS business.industry 010401 analytical chemistry General Engineering Discriminant Analysis General Chemistry 021001 nanoscience & nanotechnology Molecular Imaging 3. Good health 0104 chemical sciences [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics Tissue sections [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic medicine.symptom 0210 nano-technology business Skin lesion Unsupervised clustering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
Zdroj: | Journal of Biophotonics Journal of Biophotonics, Wiley, 2018, 11 (7), pp.e201700380. ⟨10.1002/jbio.201700380⟩ |
ISSN: | 1864-063X 1864-0648 |
DOI: | 10.1002/jbio.201700380⟩ |
Popis: | 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 dewaxing. In this study, the potential of the infrared microspectroscopy, 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. |
Databáze: | OpenAIRE |
Externí odkaz: |