Automation – News and Features

Discover how Agilent's AssayMAP Bravo and RapidFire systems accelerate drug discovery with automation and rapid, reliable mass spectrometry.

Scientists have established a new design strategy for building 3D materials and devices in a bottom-up manner, using a set of nanoscale DNA-guided components. This "DNA origami" approach could revolutionize catalysis, computing and engineering.

This article explores the latest advancements in food testing and highlights how they are enabling faster, more reliable testing to ensure the safety of the global food supply chain.

Researchers at Chiba University found that genetic diversity among fruit flies enhances group fear responses, improving survival. Using a novel GHAS method, they identified genes like Ptp99A linked to visual motion processing.

A new, fully autonomous robotic system aims to speed up the discovery of new semiconductor materials by improving the speed at which researchers can measure important material properties.

Nine scientists from academia and industry offer their take on the crucial skills tomorrow’s scientists will need to thrive in an evolving research landscape, from AI to digital lab fluency.

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is developed.

Structure verification by NMR is a vital task in drug discovery but can be slow and subjective. This article explores how ASV transforms it into a scalable, consistent and reliable process.

Anti-infective discovery is evolving with AI and robotics – learn how UK researchers aim to cut development time and improve success rates.

Scientists have developed a liquid-phase electron microscopy technique that makes it possible to observe phonon dynamics in nanoparticle self-assemblies. These observations could inspire novel reconfigurable metamaterials.