CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting
<p><strong>Data Description:</strong></p> <ul> <li>Two cell death modalities are considered in this study: apoptosis and ferroptosis. The treatments and their cell death types used in these experiments are shown in Figure 1 in the paper. In total we have seven apoptosis and seven ferroptosis inducers. They target specific cell organelles and components. Besides, active treatments there are negative controls DMSO and untreated wells.</li> <li>Every image has a resolution of 1360 x 1024. These four channels were imaged in the experiments. For every well multiple images (fields) are taken typically ten fields.</li> <li>Three plates with four different settings were imaged. 20x non-confocal (very fast [1.5h]), 20x confocal (fast [2.5h]), 40x non-confocal (slow [5h]), 40x confocal (very slow [8h]). All for one time point 28h (incubation time).</li> </ul>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0