X-Ray Tomography Signal Integrity

This project is being run in collaboration with Professor Sven Simon of the University of Stuttgart, who is providing the equipment and experimental work. This project will be a useful adjunct to the award-winning High-Frequency Materials Project. Coupons from the HF Materials project have been sent to U. Stuttgart after completing Df/Dk testing. The project will use high resolution X-Ray Tomography on the coupons and import the geometry data into 3D electrical models.

Project stage: 
Project type: 
Lead company: 
University of Stuttgart

If you are interested in participating in this project:

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Idea Information


Dr. Sven Simon of the University of Stuttgart developed a new method to automatically input X-Ray images into 3D EM Field Solvers. This method is based on software developed at U. Stuttgart and also on a new Nikon X-Ray imaging system. In May 2016 the technique was demonstrated and the team is ready to begin measurements of signal integrity test samples from the High-Frequency Measurements Project.

Nikon HMX ST225 CT Scanner; Inside Cabinet Source-Object; Inside Cabinet Object-Detector


Signal Integrity models are based on nominal geometries with no “as built” dimensions or manufacturing variation included.

The current way to gather that information is to perform cross-sections on many samples. But cost and time render that method impractical for obtaining large amounts of actual dimensional and variance data.


Definition Information

Goals / Benefits: 

From these models, and the measured Df/Dk values, we can output S-Parameters for the test coupon circuits. We will also generate manufacturing tolerance data in a large number of coupons from the HF Materials project. X-Ray tomography can provide a faster and cheaper approach to physical construction analysis than cross-section techniques.



No new samples need to be generated.  We will “recycle” the samples used by the HF Materials project.  U. Stuttgart will do all of the measurement and modeling work. The University of Stuttgart will collaborate with HDPUG to publish the results.