Ex vivo multispecies dataset for three-dimensional reconstruction of the corneal stromal nerve plexus using hexapod-based confocal microscopy and deep-learning segmentation
Version 1This dataset provides three-dimensional confocal microscopy images and deep-learning-based nerve segmentations of the stromal corneal nerve plexus from ex vivo samples of multiple species (porcine, murine, ovine, and human). Corneal volumes were acquired using a confocal microscope synchronized with a programmable six-axis hexapod platform that precisely positioned the specimens, enabling large-scale volume scans of the corneal stroma. A U-Net-based 2.5D segmentation model was trained exclusivel
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This dataset provides three-dimensional confocal microscopy images and deep-learning-based nerve segmentations of the stromal corneal nerve plexus from ex vivo samples of multiple species (porcine, murine, ovine, and human). Corneal volumes were acquired using a confocal microscope synchronized with a programmable six-axis hexapod platform that precisely positioned the specimens, enabling large-scale volume scans of the corneal stroma. A U-Net-based 2.5D segmentation model was trained exclusivel