NanoPyx: super-fast bioimage analysis powered by adaptive machine learning

Abstract The expanding scale and complexity of microscopy image datasets require accelerated analytical workflows. NanoPyx meets this need through an adaptive framework enhanced for high-speed bioimage analysis. At the core of NanoPyx, the Liquid Engine dynamically generates optimised CPU and GPU-based code variations, learning and predicting the fastest based on input data and hardware. This data-driven optimisation achieves over 10x faster processing, becoming broadly relevant to reactive microscopy and computing fields requiring efficiency.