What are lab operations and why do they matter for scientific productivity?

While labs have digitized the science — ELNs, LIMS, instrument software — the operational layer underneath (inventory, equipment scheduling, workflow coordination) often remains stuck in spreadsheets and sticky notes. IDBS’s Unjulie Bhanot walks through five common breakdowns, from uncertain inventory status to invisible bottlenecks, arguing that the fix isn’t collecting more data but connecting the data labs already have. The piece makes the case for unified lab operations platforms as the foundation for both day-to-day efficiency and future AI-driven optimization.

MOBILion Systems Showcases SLIM as a Portfolio-Defining Platform Technology Powering the Next Decade of Mass Spectrometry Innovation

MOBILion Systems is positioning its SLIM ion mobility technology as more than a single-instrument feature — the company frames it as a platform capable of upgrading performance across an entire range of mass spec detector types, from standard quadrupole systems to high-resolution proteomics platforms. The release highlights new modes of operation (PAMAF and PAMAT) aimed at improving sensitivity, speed, and data quality across proteomics and targeted workflows, with CEO Melissa Sherman describing SLIM as a way to “redefine” mass spectrometry portfolios rather than serve one niche application.

Can You Trust AI in Your Organisation? Seven Questions Worth Asking Before You Say Yes

AI adoption in UK businesses is accelerating, but trust hasn’t kept pace with uptake — most people remain wary of security risks and reluctant to hand AI systems full autonomy. This piece from Duco Digital Training lays out seven practical questions organisations should answer before rolling out AI tools more widely, covering data safety, accountability, GDPR compliance, output verification, staff training, data quality, and security testing. The throughline: getting AI right isn’t about moving slower, it’s about moving with eyes open.