Downstream Data Bottlenecks Are Slowing LC-MS Workflows

Separation Science
July 9, 2026

As LC-MS technologies continue to increase throughput and data complexity, many laboratories are finding that their greatest challenges now exist beyond data acquisition. A recent interview with Aude Tartière, Head of Commercial, Expressionist at Genedata, highlights how connected, automated, and AI-enabled workflows can help organizations overcome downstream bottlenecks by streamlining data analysis, review, and reporting. By connecting molecule information, metadata, analytical results, and reporting processes within a unified framework, laboratories can reduce manual effort, improve consistency, and accelerate scientific decision-making.