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jrc_mus-liver organelle predictions

dataset
posted on 24.06.2022, 15:13 authored by CellMap Project Team, Aubrey WeigelAubrey Weigel, Davis Bennett, David AckermanDavid Ackerman, Larissa Heinrich, Woohyun Park, Alyson Petruncio, John Bogovic, William Patton

A collection of ground truth data, raw predictions, and refined predictions performed on a mouse liver FIB-SEM dataset.

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)

Dataset URL: https://data.janelia.org/dyugw

Visualization Website: https://openorganelle.janelia.org/datasets/jrc_mus-liver 

Segmented Organelles: ER, ER mem, Nucleus, PM, Mito, Mito mem, ECS

Included in Dataset: predictions, segmentations, ground truth

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