Lab Automation
Lab automation involves using software, hardware, and robotics to automate repetitive laboratory tasks such as sample handling, data collection, and analysis. It integrates instruments like liquid handlers, plate readers, and robotic arms with control software to streamline workflows in fields like biology, chemistry, and pharmaceuticals. This technology increases throughput, reduces human error, and enables high-throughput screening and experimentation.
Developers should learn lab automation when working in life sciences, biotechnology, or pharmaceutical industries to build systems for drug discovery, genomics, or clinical diagnostics. It's essential for creating scalable, reproducible experiments and managing large-scale data generation, such as in automated assay development or laboratory information management systems (LIMS).