Deep learning segmentation projects of FIB-SEM dataset of U2-OS cell

dc.contributor.affiliationUniversity of Helsinki - Ilya, Belevich
dc.contributor.affiliationUniversity of Helsinki - Jokitalo, Eija
dc.contributor.authorIlya, Belevich
dc.contributor.authorJokitalo, Eija
dc.contributor.roleNatalia, Szyrynska Other
dc.contributor.roleZaversek, Tim Other
dc.date.accessioned2025-03-24T15:11:37Z
dc.date.issued2023-10-26
dc.date.issued2023-10-26
dc.descriptionThis submission includes ground truth datasets that were used to segment the nuclear envelope (NE), mitochondria, endoplasmic reticulum (ER) and Golgi from a human bone osteosarcoma epithelial cell (U2-OS) imaged using focused-ion beam scanning electron microscopy (FIB-SEM).The full FIB-SEM dataset is deposited to EMPIAR (https://www.ebi.ac.uk/empiar, EMPIAR-11746). 
dc.identifierhttps://doi.org/10.5281/zenodo.10043461
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9283
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.titleDeep learning segmentation projects of FIB-SEM dataset of U2-OS cell
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dc.typedataset
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