sOCT of the Human Somatosensory Cortex and Vessel Segmentation

This dataset contains a 3.4 x 2.9 x 1.1 cm block of Human somatosensory cortex imaged by Serial-sectionning Optical Coherence Tomography (sOCT) at 20 µm isotropic resolution. Vessels in a 6 x 6 x 6 mm region of interest (ROI) were manually labeled and used to validate a machine-learning segmentation method.The output of the automatic segmentation method are also provided, both for the small ROI and large block. In details, the dataset contains: - `sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_OCT.ome.zarr` - Image of the full block of tissue - `sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_OCT.ome.zarr` - Image of the smaller region of interest - `derivatives/annotations/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-tissue_mask.ome.zarr` - Manually labeled tissue - `derivatives/annotations/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_mask.ome.zarr` - Manually labeled vessels - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_mask.ome.zarr` - Vessel maximum-likelihood map (large block) - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_label-vessels_mask.ome.zarr` - Vessel maximum-likelihood map (small block) - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-01_label-vessels_probseg.ome.zarr` - Vessel probability map (large block) - `derivatives/predictions/sub-I46/micr/sub-I46_sample-somatosensory_chunk-02_label-vessels_probseg.ome.zarr` - Vessel probability map (small block)