A patient has suffered a severe neurological collapse following the activation of their MindLink neural prosthesis. The explanted device underwent a forensic analysis using micro-computed tomography (micro-CT) to locate the cause of the short circuit. This article details the technical workflow used to detect microscopic solder bridges and galvanic corrosion in the chip encapsulation.
Forensic workflow: Segmentation with Dragonfly and PCB analysis 🔬
The micro-CT data volume was processed in Dragonfly to segment the ceramic substrate layers and the PCB copper traces. Using edge enhancement filters and adaptive thresholding, two critical anomalies were identified: a 15-micron tin solder bridge between the VDD pad and the signal pin, and a galvanic corrosion stain at the titanium encapsulation interface. These findings were confirmed by exporting the segmented point cloud to Altium Designer, where the short circuit was mapped onto the original integrated circuit schematic. KeyShot was used to generate a photorealistic visualization of the defect, showing the current leakage path.
The lesson for future implantable devices 🧠
This case demonstrates that traditional visual inspection is insufficient to guarantee the safety of neuroimplants. The combination of 3D micro-CT and advanced segmentation in Dragonfly allows biomedical engineers to detect sub-micrometric defects before they cause irreversible damage. Integrating this protocol into quality control processes could prevent catastrophic failures, reinforcing the need for stricter standards in the manufacturing of neural prostheses.
The 3D micro-computed tomography of the MindLink brain chip revealed a critical microfracture at the neural contact interface, but the patient reported symptoms hours before the official activation of the device: could mechanical fatigue induced by the brain tissue itself have triggered the structural failure before the first scheduled use?
(PS: and if the printed organ doesn't beat, you can always add a little motor... just kidding!)