X-ray tomography is a three-dimensional imaging method that reconstructs internal package and board structures from multiple x-ray projections - Computed reconstruction combines many angular scans to reveal hidden voids cracks and misalignment features without destructive sectioning.

What Is X-ray tomography?

• Definition: A three-dimensional imaging method that reconstructs internal package and board structures from multiple x-ray projections.
• Core Mechanism: Computed reconstruction combines many angular scans to reveal hidden voids cracks and misalignment features without destructive sectioning.
• Operational Scope: It is applied in semiconductor yield and failure-analysis programs to improve defect visibility, repair effectiveness, and production reliability.
• Failure Modes: Reconstruction artifacts can create false defect signatures if calibration and alignment are weak.

Why X-ray tomography Matters

• Defect Control: Better diagnostics and repair methods reduce latent failure risk and field escapes.
• Yield Performance: Focused learning and prediction improve ramp efficiency and final output quality.
• Operational Efficiency: Adaptive and calibrated workflows reduce unnecessary test cost and debug latency.
• Risk Reduction: Structured evidence linking test and FA results improves corrective-action precision.
• Scalable Manufacturing: Robust methods support repeatable outcomes across tools, lots, and product families.

How It Is Used in Practice

• Method Selection: Choose techniques by defect type, access method, throughput target, and reliability objective.
• Calibration: Use known calibration standards and compare reconstructed geometry against reference samples before formal diagnosis.
• Validation: Track yield, escape rate, localization precision, and corrective-action closure effectiveness over time.

X-ray tomography is a high-impact lever for dependable semiconductor quality and yield execution - It provides deep non-destructive visibility for complex failure-localization workflows.