2012
DOI: 10.1117/12.907410
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In vivo multiphoton microscopy associated to 3D image processing for human skin characterization

Abstract: International audienceMultiphoton microscopy has emerged in the past decade as a promising non-invasive skin imaging technique. The aim of this study was to assess whether multiphoton microscopy coupled to specific 3D image processing tools could provide new insights into the organization of different skin components and their age-related changes. For that purpose, we performed a clinical trial on 15 young and 15 aged human female volunteers on the ventral and dorsal side of the forearm using the DermaInspectR… Show more

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Cited by 13 publications
(16 citation statements)
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“…We recently developed 3D image processing tools for multiphoton images of human skin that allow us to automatically segment the different skin layers and extract several quantitative parameters characterizing skin in terms of morphology, density and organization. For example, the different skin layers thickness can be quantified, as well as the melanin density or the shape of the dermal‐epidermal junction (DEJ).…”
Section: Introductionmentioning
confidence: 99%
“…We recently developed 3D image processing tools for multiphoton images of human skin that allow us to automatically segment the different skin layers and extract several quantitative parameters characterizing skin in terms of morphology, density and organization. For example, the different skin layers thickness can be quantified, as well as the melanin density or the shape of the dermal‐epidermal junction (DEJ).…”
Section: Introductionmentioning
confidence: 99%
“…The highly crystalline triple‐helix configuration of collagen makes it an ideal noncentrosymmetric structure in generating SHG light. SHG microscopy has been used to characterize collagen in tissues including human skin, cornea, and liver . In the skin, both intrinsic fluorophores (such as falvins, keratin, and melanin) in the epidermis and the elastin fiber network in the dermis contribute to the TPEF signal, whereas the collagen network generates a strong SHG signal …”
Section: Identifying Current Challenges In Skin Modelingmentioning
confidence: 99%
“…Endogenous chromophores such as NAD(P)H, flavins, keratin, melanin or elastin create 2PEF signals, whereas SHG signals are obtained from dense, non-centro-symmetrical, and ordered macromolecular structures such as fibrillar collagen. This technique has already been applied for characterizing normal skin, age-related or photo-ageing skin changes [23][24][25][26][27], dermatological disorders and melanoma [28,29], as well as in cosmetic and pharmaceutical research [21,22,30].…”
Section: Introductionmentioning
confidence: 99%