Several analytical techniques are employed to process and analyze nanotechnology data, including:
Machine Learning: Algorithms that learn from data to make predictions or identify patterns. Statistical Analysis: Methods that summarize data and infer properties of the population from sample data. Image Processing: Techniques to analyze and interpret images from microscopy. Big Data Analytics: Handling and analyzing large datasets that are beyond the capability of traditional database tools.
