Researchers have found that a machine learning algorithm can predict the location of actin-associated proteins in lamellipodia and other subcellular structures based solely on the location of actin itself. This approach could be useful for rapid analysis of microscopy images, and potentially as a substitute for using fluorescent stains to detect proteins within cells.
