Automated monitoring systems in nanotechnology typically involve several components:
Sensors: These are the primary devices used to detect and measure physical, chemical, and biological properties at the nano-scale. Data Acquisition Systems: These systems collect data from sensors and convert it into a format that can be analyzed by computers. Data Processing Units: These units, often powered by AI and machine learning, analyze the collected data to provide insights and make decisions. Control Systems: Based on the data analysis, these systems can autonomously adjust parameters and control the processes in real-time.
