Journal of Biophotonics · 2021 · 47 citations · 33 references
EngineeringAnatomyBiomedical EngineeringBiomedical ImagingBiomedical OpticsHistologyEpidermal AnatomyOptical TomographyTissue Optical Properties3D Skin ModelsEpidermal CellsEpidermal Tissue AnatomyOptical Coherence Tomography Tissue PropertiesQuantitative Optical Coherence TomographySkin MicroanatomySkin Thickness MeasurementTissue Morphology Analysis
Epidermal three-dimensional (3D) topography/quantification has not been completely characterized yet. The recently developed line-field confocal optical coherence tomography (LC-OCT) provides real-time, high-resolution, in-vivo 3D imaging of the skin. This pilot study aimed at quantifying epidermal metrics (epidermal thicknesses, dermal-epidermal junction [DEJ] undulation and keratinocyte number/shape/size) using 3D LC-OCT. For each study participant (8 female, skin-type-II, younger/older volunteers), seven body sites were imaged with LC-OCT. Epidermal metrics were calculated by segmentations and measurements assisted by artificial intelligence (AI) when appropriate. Thicknesses of epidermis/SC, DEJ undulation and keratinocyte nuclei volume varied across body sites. Evidence of keratinocyte maturation was observed in vivo: keratinocyte nuclei being small/spherical near the DEJ and flatter/elliptical near the skin surface. Skin microanatomy can be quantified by combining LC-OCT and AI. This technology could be highly relevant to understand aging processes and conditions linked to epidermal disorders. Future clinical/research applications are to be expected in this scenario.
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A survey on Image Data Augmentation for Deep Learning
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