← Search

Imaging · dataset · 2022

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

Listed in DATADOI

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Other
From keywords
Microscopy
Inferred from text
Image 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DATADOIdoi:10.23673/RE-30512 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:othersource · datadoi eeconnector:datadoi_ee@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · datadoi eekeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:microscopymapping · datadoi eevocabulary-mapper@1.0.0keywords['fluorescence microscopy']
created_datesource · datadoi eeconnector:datadoi_ee@1.0.0
descriptionsource · datadoi eeconnector:datadoi_ee@1.0.0/description
publication_datesource · datadoi eeconnector:datadoi_ee@1.0.0
titlesource · datadoi eeconnector:datadoi_ee@1.0.0/name
updated_datesource · datadoi eeconnector:datadoi_ee@1.0.0
version_labelsource · datadoi eeconnector:datadoi_ee@1.0.0