Multi-photon excited intensity and lifetime fluorescence images relying on endogenous contrast can be analyzed to quantify contributions from key metabolic co-enzymes and associated metabolic function and mitochondrial organization metrics. The high spatio-temporal resolution and context of these non-destructive measurements can be used to provide important insights related to a wide range of samples, conditions and disease models. Corresponding images are acquired from mitochondria, engineered tissues, excised and in vivo human tissues. Recent studies highlight the value of multi-parametric, label-free, metabolic assessments to improve our understanding of traumatic brain injury, (pre)cancer development, and vitiligo lesions.
Wound re-epithelialization is complex and imperfect. Understanding which cells are involved in this process, how they are spatially arranged, and when they contribute to wound healing is a longstanding scientific and clinical challenge. We used a recently developed fast large area multiphoton exoscope for in vivo imaging of human skin to study the process of wound healing in vivo in human skin. We monitored the re-epithelization of wounds generated by removal of the epidermis following a suction blistering procedure and identified the morphological and metabolic signatures of epidermal and dermal cells involved in the healing process.
Vitiligo is an immune skin disorder consisting of depigmented skin patches caused by the destruction of epidermal melanocytes. Vitiligo treatment represents a clinical challenge since the re-pigmentation mechanism is not fully understood. In this pilot study, we employ in-vivo multiphoton microscopy to evaluate epidermal keratinocyte metabolic state before and during treatment, in-vivo reflectance confocal microscopy to track melanocyte migration after treatment initiation, and single cell transcriptomics to identify unique cell populations more abundant in stable vitiligo lesions compared to normal skin. The findings provide insights into the role of certain cell populations in the viability of micro-grafting treatments.
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