Lab automation uses sophisticated laboratory information management systems (LIMSs), robotic material handlers, and increasingly smart laboratory instruments to track test samples, evaluate results, and perform labor-intensive clinical tasks.
Lab automation is used in clinical and biopharmaceutical research labs as well as manufacturing facilities. Materials research labs use automation to discover new compounds and molecules.
Basic lab automation depends on automated laboratory instruments with onboard computing and high-speed networking. Instruments are assembled to create workflows that are managed by automated control systems and information management systems. High-performance workstations and on-premise or cloud-based servers support lab-wide automation and operational technology.
Artificial intelligence is making lab automation smarter and more autonomous. AI requires cameras, microphones, and other sensors to capture data plus additional software and computing power.