Parallel X-Ray Inspection of Through-Silicon Vias for Defect Detection
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Solution Overview
Problem
Advanced integrated circuit packaging technologies, particularly three-dimensional integration with through-silicon vias, pose challenges in detecting manufacturing defects due to their high-density and complex nature, making real-time inspection difficult and inefficient.
Innovation Solution
The method involves using x-ray imaging to extract subcomponent images, computing transformed feature vectors, calculating pairwise distances, determining a proximity metric, and comparing it against a threshold to detect defects in subcomponents, enabling real-time inspection of thousands of through-silicon vias in parallel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inspection methods are used for through-silicon vias in 3D integrated circuit packaging, then manufacturing complexity is reduced, but defect detection capability deteriorates due to high density and complex structure
Solution Approach 1:
The patent divides the complex inspection task into segments by processing individual subcomponents (TSVs) separately through image extraction, feature vector computation, and proximity metric calculation. This segmentation enables precise defect detection in high-density packaging without overwhelming the inspection system with the entire component at once.
Solution Approach 2:
The patent creates a virtual model (copy) of the TSV structure through x-ray imaging and computational processing. Instead of physically manipulating or disassembling the complex 3D package, the system inspects a digital representation, achieving high measurement precision while avoiding the complexity of physical intervention.
2Productivity
If real-time inspection of thousands of through-silicon vias is performed, then defect detection speed is improved, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual inspection processes with automated computational methods. X-ray imaging combined with algorithmic processing (feature extraction, pairwise distance calculation, proximity metric determination) enables rapid real-time inspection of thousands of TSVs, achieving high productivity while managing processing complexity through automation.
Solution Approach 2:
The patent transforms the inspection problem by changing parameters from direct image analysis to computed feature vectors and proximity metrics. This parameter transformation simplifies the processing of complex high-density TSV structures, enabling faster real-time inspection while maintaining accuracy.
3Measurement precision
If high-resolution imaging is used to detect defects in complex subcomponents, then measurement precision is improved, but inspection time increases
Solution Approach 1:
The patent extracts only the relevant subcomponent images and features from the full x-ray dataset, rather than analyzing every pixel of every image. This extraction approach maintains high measurement precision for defect detection while significantly reducing inspection time by focusing computational resources on critical features only.
Solution Approach 2:
The patent applies partial action by computing proximity metrics only for relevant feature pairs rather than all possible combinations. This selective processing achieves sufficient defect detection accuracy without the excessive time cost of exhaustive analysis, optimizing the balance between precision and speed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for real-time, parallel defect detection in high-density integrated circuit packaging, enhancing manufacturing efficiency and enabling statistical process control by accurately identifying defects in complex subcomponents.
Implementation Method 1
The component may be, for example, a multi-chip package with silicon interposers and through-silicon vias. Other components may be inspected, and other imaging apparatus may be used in alternate implementations.
Data Source
AI summary
The presently-disclosed technology enables real-time inspection of a multitude of subcomponents of a component in parallel. For example, the component may be a semiconductor package, and the subcomponents may include through-silicon vias. One embodiment relates to a method for inspecting multiple subcomponents of a component for defects, the method comprising, for each subcomponent undergoing defect detection: extracting a subcomponent image from image data of the component; computing a transformed feature vector from the subcomponent image; computing pairwise distances from the transformed feature vector to each transformed feature vector in a training set; determining a proximity metric using said pairwise distances; and comparing the proximity metric against a proximity threshold to detect a defect in the subcomponent. Another embodiment relates to a product manufactured using a disclosed method of inspecting multiple subcomponents of a component for defects. Other embodiments, aspects and features are also disclosed.