Cell Painting is a powerful high-content screening method which combines cell and computational biology to unravel cells’ responses and gain a deeper understanding of the effects of chemical and genetic perturbagens.

However, implementation of cell painting is not without its challenges - from choosing a cell model and labeling reagents, to optimizing instrumentation and making sense of the thousands of features that are extracted during data analysis.

Download our application note to learn how to:

• Set up optimal imaging parameters and see the effect of different acquisition modes on compound clustering
• Easily perform the assay using the dyes provided in the PhenoVue^™ Cell Painting kit
• Extract and analyze more than 5700 cellular features
• Visualize multidimensional data using the Signals^™ Screening analysis platform