A software tool called CaImAn automates the arduous process of tracking the location and activity of neurons. It accomplishes this task using a combination of standard computational methods and machine-learning techniques. In a new paper, the software's creators demonstrate that CaImAn achieves near-human accuracy in detecting the locations of active neurons based on calcium imaging data.