Grain size analysis plays a fundamental role in metallography and materials science. The size and distribution of grains directly influence mechanical properties such as strength, toughness, fatigue resistance, and ductility. For decades, laboratories have relied on manual or semi-automated methods to evaluate grain size according to ASTM E112. Today, artificial intelligence is redefining how grain
How Artificial Intelligence Is Transforming Microstructure Analysis Vickers hardness testing has long been a cornerstone of metallography and materials science. For decades, laboratories have relied on manual indentation measurement under optical microscopes to determine material hardness. While the method itself is highly reliable, the workflow often depends on operator precision, manual diagonal marking, and time-consuming