Automation enhances research efficiency by streamlining the experimental workflow. Automated systems can perform complex data analysis and monitoring tasks that would be time-consuming and error-prone if done manually. This allows researchers to focus on the interpretation of results and the design of new experiments. Furthermore, automated systems can operate continuously, increasing the amount of data collected and accelerating the discovery process.
