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Manual nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of BFA-treated HeLa cell (jrc_hela-bfa)

dataset

posted on 2024-09-16, 17:09 authored by CellMap Project TeamCellMap Project Team, David Ackerman, Emma Avetissian, Alyson Petruncio, Rebecca VorimoRebecca Vorimo, Yurii Zubov

Annotation description: Dense segmentations of nuclei in jrc_hela-bfa 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_hela-bfa

Source (EM) voxel size (nm): 8 x 8 x 8 (X, Y, Z)

Source (EM) data dimensions (µm): 65 x 4.8 x 51.6 (X, Y, Z)

Source (EM) DOI: https://doi.org/10.25378/janelia.13469814

Dataset URL: https://data.janelia.org/OYpt0

Visualization website: https://openorganelle.janelia.org/datasets/jrc_hela-bfa