Images about acceleration of yield ramp, adaptive thresholding techniques, automated image analysis and classification, automated root cause analysis, continuous learning and improvement, cost reduction through defect prevention, data fusion from multiple sensors, deep learning-based pattern recognition, defect trending and forecasting, domain adaptation between process nodes, enhanced collaboration in the supply chain, enhanced e-beam inspection efficiency, feature extraction for microscopic defects, improved classification of gray-level defects, multimodal data integration, predictive maintenance and tool health monitoring, real-time feedback loops, reduced reliance on human experts, scalable defect libraries, and unsupervised anomaly detection.