jrc_mus-liver Ariadne.ai organelle segmentations

Organelle segmentations generated using Ariadne.ai, an automatic segmentation service applied to a FIB-SEM mouse liver dataset subvolume.
This dataset captures a region within the mouse liver that includes several structures of metabolic significance. The data set contains profiles of many complete hepatocytes and their surrounding sinusoids and bile ductules. Some hepatocytes show two nuclei due to their enormous metabolic activity. Perforated endothelial cells and Kupffer cells form the lining of sinusoids. Inside each hepatocyte, many metabolic relevant organelles such as ER, mitochondria, lipid droplets and their structural relationship can be visualized in their entirety.
Sample: Wild-type, 8 week old mouse, strain: C57BL/6 from Jackson Lab Dataset ID: jrc_mus-liver EM Data DOI: 10.25378/janelia.16913047 EM voxel size (nm): 8.0 x 8.0 x 8.0 (X, Y, Z) Segmentation voxel size (nm): 8.0 x 8.0 x 8.0 (X, Y, Z) Segmentation offset (nm): 30984, 30912, 15728 (X, Y, Z) Dataset URL: https://data.janelia.org/lDE1m Visualization Website: https://openorganelle.janelia.org/datasets/jrc_mus-liver Segmented Organelles: Plasma membrane, Endoplasmic Reticulum, Mitochondria, Mitochondria Cristae, Nucleus