empanada is a napari plugin for panoptic segmentation workflows on 2D and 3D cellular EM images (https://empanada.readthedocs.io/en/latest/); it is designed to be used in resource- and expertise- limited settings. It allows facile model training, fine-tuning, inference and proof-reading, and comes with pre-trained generalist instance segmentation models  MitoNet, NucleoNet and DropNet. Here I discuss some of the background work and resources associated with creating empanada, and some examples of how it has enabled new insights in cell biology. I will include a simple show-and-tell tutorial on how to run empanada, including some features included in the latest release.