Automated pattern analysis in nanotechnology typically involves several steps:
Data Collection: Gathering data using advanced imaging techniques. Preprocessing: Cleaning and preparing the data for analysis. Feature Extraction: Identifying important features or patterns in the data. Classification: Categorizing the features using machine learning algorithms. Interpretation: Analyzing the categorized data to derive meaningful insights.
