This is the first time that all the proteins of an organism have been tracked across the cell cycle, which required a combination of deep learning and high-throughput microscopy. The team applied two convolutional neural networks, called DeepLoc and CycleNet, to analyze images of millions of live yeast cells. This result was a comprehensive map identifying where proteins are located and how they move and change in abundance within the cell.