Cell painting is a high-content profiling technology that uses up to six fluorescent dyes to visualize specific cellular components at the single-cell level. The assay essentially “paints” images of various components of the cell, including the nucleus, mitochondria, endoplasmic reticulum, cytoskeleton, and more. After microscopic images are captured, image analysis software converts them to data by extracting various measures of cellular morphology, called features. The results allow researchers to understand the effects of perturbagens, such as chemical compounds or genes, on the behavior of cells, feeding drug discovery and the characterization of bioactive molecules.
In this Q&A, The Analytical Scientist speaks with Angeline Lim, Senior Scientist at Molecular Devices, and David Egan, co-founder and CEO at Core Life Analytics, about a collaboration focused on using AI to make cell painting faster and more efficient.