Sciences · Glossary
Lab Automation
Lab automation applies robotics, liquid handlers, and scheduling software to laboratory workflows so experiments run with less manual intervention and higher reproducibility. It spans single-instrument automation to fully autonomous, cloud-controlled labs.
Automation reshapes lab economics by increasing throughput and data consistency while easing scientist workload. Integration, connecting instruments, LIMS, and analysis pipelines, is where most programs succeed or stall.
In practice
In the sciences industry, lab automation is primarily handled by laboratory technicians, researchers, and laboratory managers who implement robotic systems and liquid handling devices to streamline workflows. This technology reduces manual errors and accelerates experiment timelines, directly influencing decisions on resource allocation and project schedules. Commercially, effective lab automation leads to increased throughput and cost savings, allowing organizations to bring products to market faster and stay competitive in research and development.
Where Lab Automation shows up on MarketScale
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