HeLa "Kyoto" cells under the scope
<p><strong>Name</strong>: HeLa “Kyoto” cells under the scope</p> <p><strong>Microscope</strong>: Perkin Elmer Operetta microscope with a 20x N.A. 0.8 objective and an Andor Zyla 5.5 camera.</p> <p><strong>Microscopy data type</strong>: The time-lapse datasets were acquired every 15 minutes, for 60 hours. From the individual plan images (channels, time-points, field of view exported by the PerkinElmer software Harmony) multi-dimension images were generated using the <a href="https://github.com/BIOP/ijp-operetta-importer/releases/tag/Operetta_Importer-0.1.21">Operetta_Importer-0.1.21</a> with a downscaling of 4. </p> <p>Channel 1 : Low Contrast DPC (Digital Phase Contrast)</p> <p>Channel 2 : High Contrast DPC</p> <p>Channel 3 : Brightfield</p> <p>Channel 4 : EGFP-α-tubulin</p> <p>Channel 5 : mCherry-H2B</p> <p><strong>File format</strong>: .tif (16-bit)</p> <p><strong>Image size</strong>: 540x540 (Pixel size: 0.299 nm), 5c, 1z , 240t</p> <p> </p> <p><strong>Cell type</strong>: HeLa “Kyoto” cells, expressing EGFP-α-tubulin and mCherry-H2B ( <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839080/">Schmitz <em>et al</em>, 2010</a> )</p> <p><strong>Protocol</strong>: Cells were resuspended in <strong>Imaging media</strong> and were seeded in a microscopy grade 96 wells plate ( <a href="https://catalyse-erm.epfl.ch/erd-client/app/secure/sourcesearch/results?p=1&channel=SpendDirectorCatalog">CellCarrier Ultra 96</a>, Perkin Elmer). The day after seeding, and for 60 hours, images were acquired in 3 wells, in 25 different fields of view, every 15 minutes.</p> <p><strong>Imaging media</strong>: DMEM red-phenol-free media (FluoroBrite™ DMEM, Gibco) complemented with Fetal Calf Serum and Glutamax.</p> <p> </p> <p><strong>NOTE: </strong>This dataset was used to automatically generate label images in the following Zenodo entry: <strong> <a href="https://doi.org/10.5281/zenodo.6140064">https://doi.org/10.5281/zenodo.6140064</a></strong></p> <p><strong>NOTE: </strong>This dataset was used to train the cellpose models in the following Zenodo entry:<strong> <a href="https://doi.org/10.5281/zenodo.6140111">https://doi.org/10.5281/zenodo.6140111</a></strong></p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4