Quantitative biomarkers of facial skin ageing were studied from one hundred healthy Caucasian female volunteers, aged 20–70 years, using in vivo 3D Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging coupled with Artificial Intelligence (AI)-based quantification algorithms.
Layer metrics, i.e. stratum corneum thickness (SC), viable epidermal thickness and Dermal–Epidermal Junction (DEJ) undulation, as well as cellular metrics were measured for the temple, cheekbone and mandible.
For all three investigated facial areas, minimal age-related variations were observed in the thickness of the SC and viable epidermis layers.
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