Overcoming ‘Analysis Paralysis’ in Cell Painting With Artificial Intelligence
Gone are the days of only measuring single parameters in cell-based experiments. Instead, researchers should widen their focus, namely with the help of innovations like the Cell Painting assay—developed in 2013 by the Carpenter-Singh Lab at the Broad Institute of MIT and Harvard—for cytological characterization. This multiplexed phenotypic profiling approach introduces six fluorescent dyes that stain and identify up to eight cellular components and organelles after cells are cultured and treated with experimental conditions of interest. The end result is an abundant collection of information about the cellular response to perturbations—all nestled within colorful high-content images.
In this Bio-IT World article, Victor Wong, Chief Scientific Officer at Core Life Analytics, and Angeline Lim, Applications Scientist at Molecular Devices, discuss how this information presents both great opportunities and challenges for researchers.