Nature Communications, Published online: 18 September 2026; doi:10.1038/s41467-026-77930-1 Deep-learning segmentation accuracy depends on image resolution, with each architecture having an optimum, usually at a lower microscopy resolution. Here, the authors present ReScale4DL, a framework for optimising imaging experiments by selecting resolutions to balance accuracy, throughput and cost.