Traditionally, silicon carbide manufacturers identified dislocation-type defects like micropipes using etched wafers—a laborious, destructive process.
Nanotronics’ patented autofocus algorithms combined with cross-polarized transmitted light and DIC (Differential Interference Contrast) illumination replace such manufacturing processes.
AI classification that detects these subtle, crystallographic substrate defects can be used in-line to provide real-time feedback.
Finally, AI analysis allows the manufacturer to quickly assign causality and differentiate between nuisance and device-killing defects.