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CellChorus? applies Time lapse Imaging Microscopy in Nanowell Grids (TIMING?) with neural network-based artificial intelligence (AI) to conduct thousands of microscopy experiments in parallel. TIMING identifies the best performing cells by evaluating motility, killing, survival, morphology, cytokine secretion and subcellular activity/trafficking. Cells of interest can be retrieved for additional profiling to enable multi-omic analyses.
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- Scientific Officer
- Researcher
- Scientific Staff
- Postdoctoral Researcher
- Scientific Director
- Chief Scientific Officer
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Dynamic single-cell analysis in COVID-19
CellChorus? applies Time lapse Imaging Microscopy in Nanowell Grids (TIMING?) with neural network-based artificial intelligence (AI) to conduct thousands of microscopy experiments in parallel. TIMING identifies the best performing cells by evaluating motility, killing, survival, morphology, cytokine secretion and subcellular activity/trafficking. Cells of interest can be retrieved for additional profiling to enable multi-omic analyses.
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Case Study: Multi-omic approach to identify biomarkers
Applying TIMING to identify patients that are likely to respond to immunotherapy. CellChorus merges artificial intelligence with a nanowell imaging platform to evaluate thousands of videos of how cells interact over time. Applying the CellChorus Time-lapse Imaging In Nanowell Grids (TIMING?) platform to evaluate interactions between thousands of tumor cells and CAR-T cells provides a preview of how the CAR-T cells can eradicate tumor cells after infusion.