UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth

DOI

The "UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth" dataset contains the raw microscopy images, corresponding bright-field Z-stack based contrast-enhanced images and the corresponding manual ground truth for fluorescence and bright-field images as well as ground truth generated from the fluorescence images using either random forest-based Ilastik model or U-Net3 based deep learning model. The dataset also contains the class balanced version of the ground truth.

Identifier
DOI https://datadoi.ee/handle/33/431
Related Identifier https://doi.org/10.1101/2021.12.22.473643
Metadata Access https://datadoi.ee/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:datadoi.ee:33/431
Provenance
Creator Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago
Publisher University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry
Publication Year 2022
Rights info:eu-repo/semantics/openAccess; Attribution 4.0 International; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry
Representation
Language English
Resource Type info:eu-repo/semantics/dataset
Format TIFF; HDF5; png; application/zip; text/plain
Discipline Other