On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Induced pluripotent stem cell (iPSC) technology is revolutionizing cell biology. However, the variability between individual iPSC lines and the lack of efficient technology to comprehensively characterize iPSC- derived cell types hinder its adoption in routine preclinical screening settings. To facilitate the validation of iPSC- derived cell culture composition, we have implemented an imaging assay based on cell painting and deep learning to recognize cell types in dense and mixed cultures with high fidelity. The approach holds promise for use in the quality control of iPSC-derived cell culture models and can be used for documenting semi-stable states in heterogeneous and plastic cell cultures.