Manual nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Killer T-Cell attacking cancer cell (jrc_ctl-id8-1)

Annotation description: Dense segmentations of nuclei in jrc_ctl-id8-1 using Amira-Avizo (Thermo Fisher Scientific) and "Using Amira to manually segment organelles in vEM for machine learning V.3" protocol.
Annotation protocol: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)
Software: Amira 3D 2021.1, Classic Segmentation Workroom
Classes annotated: Nuclei
Source (EM) dataset ID: jrc_ctl-id8-1
Source (EM) voxel size (nm): 4.00 x 4.00 x 3.48 (X, Y, Z)
Source (EM) data dimensions (µm): 74 x 13 x 42 (X, Y, Z)
Source (EM) DOI: https://doi.org/10.25378/janelia.13114454
Dataset URL: s3://janelia-cosem-datasets/jrc_ctl-id8-1/jrc_ctl-id8-1.zarr/recon-1/labels/inference/segmentations/nuc/
Visualization website: https://openorganelle.janelia.org/datasets/jrc_ctl-id8-1

标注说明：使用Amira-Avizo（赛默飞世尔科技，Thermo Fisher Scientific）及《Using Amira to manually segment organelles in vEM for machine learning V.3》标注规程，对jrc_ctl-id8-1数据集内的细胞核进行稠密分割。
标注规程：《Using Amira to manually segment organelles in vEM for machine learning V.3》（链接：http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3）
使用软件：Amira 3D 2021.1、经典分割工作室（Classic Segmentation Workroom）
标注类别：细胞核
源电子显微镜数据集ID：jrc_ctl-id8-1
源电子显微镜体素尺寸（纳米）：4.00×4.00×3.48（X、Y、Z轴）
源电子显微镜数据维度（微米）：74×13×42（X、Y、Z轴）
源电子显微镜数据集数字对象标识符（DOI）：https://doi.org/10.25378/janelia.13114454
数据集链接：s3://janelia-cosem-datasets/jrc_ctl-id8-1/jrc_ctl-id8-1.zarr/recon-1/labels/inference/segmentations/nuc/
可视化网站：https://openorganelle.janelia.org/datasets/jrc_ctl-id8-1