Morphologically annotated single-cell images of human induced pluripotent stem cells for deep learning

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Single-cell phenotyping iPSC Image Dataset (ZIP, 657.0Mb) Preview Content
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Creator
Pfaendler, Ramoncc
Date
2022-11
Type
    Data Collection
Rights / license
Creative Commons Attribution-ShareAlike 4.0 International
Abstract
We have generated two datasets containing images of different cellular states of human induced pluripotent stem cells (iPSCs). We stained iPSCs with different markers (incl. DAPI and bright-field) caputuring different biological properties and subsequently used high-content automated imaging to Show more
Permanent link
https://doi.org/10.3929/ethz-b-000581447
Contributors
Contact person: Snijder, Berendcc
Contact person: Pfaendler, Ramoncc
Data collector: Pfaendler, Ramoncc
Producer: Pfaendler, Ramoncc
Project leader: Pfaendler, Ramoncc
Project manager: Snijder, Berendcc
Project member: Pfaendler, Ramoncc
Project member: Snijder, Berendcc
Project member: Hanimann, Jacob
Researcher: Pfaendler, Ramoncc
Researcher: Snijder, Berendcc
Researcher: Hanimann, Jacob
Research group: Snijder, Berendcc
Rights holder: Pfaendler, Ramoncc
Rights holder: Snijder, Berendcc
Publisher
ETH Zurich
Geographic location
Place nameZurich
Date collected
2020-10-01/2022-11-01
Date created
2020-10-01/2022-11-01
Subject
High content screening; Deep learning; Induced pluripotent stem cells
Organisational unit
09595 - Snijder, Berend / Snijder, Berend  
09595 - Snijder, Berend / Snijder, Berend  
Funding
ETH-28 20-1 - Surveying the functional and phenotypic landscape of pluripotent cells across individuals (ETHZ)
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