Manual nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Killer T-Cell attacking cancer cell (jrc_ctl-id8-4)

<b>Annotation description</b>: Dense segmentations of nuclei in jrc_ctl-id8-4 using Amira-Avizo (Thermo Fisher Scientific) and "Using Amira to manually segment organelles in vEM for machine learning V.3" protocol.<b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Classes annotated</b>: Nuclei<b>Source (EM) dataset ID</b>: jrc_ctl-id8-4<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (X, Y, Z)<b>Source (EM) data dimensions (µm)</b>: 60 x 11 x 39.46 (X, Y, Z)<b>Source (EM) DOI</b>: https://doi.org/10.6084/m9.figshare.14447565<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ctl-id8-4/jrc_ctl-id8-4.zarr/recon-1/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ctl-id8-4