材料科学
印刷电路板
制作
激光烧蚀
光电子学
足迹
聚酰亚胺
电极
计算机科学
激光器
电气工程
纳米技术
光学
工程类
物理
生物
医学
病理
古生物学
量子力学
替代医学
图层(电子)
作者
Carlos-Felipe Roa,Nidhi Singh,Emmanuel Chérin,Jianhua Yin,Aaron Boyes,F. Stuart Foster,Christine Démoré
出处
期刊:IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
[Institute of Electrical and Electronics Engineers]
日期:2022-07-07
卷期号:69 (10): 2785-2797
被引量:6
标识
DOI:10.1109/tuffc.2022.3189338
摘要
Microultrasound (micro-US) has become an invaluable tool for preclinical research and in emerging applications in clinical diagnosis and treatment guidance. Several such applications can benefit from arrays with a small footprint and endoscopic form factor. However, critical challenges arise in making electrical connections to array elements in such spatial constraints. In this work, we describe a method to pattern a high-density flexible circuit cabling on a copper-on polyimide film, using laser ablation of a polymer resist and wet etching, and then demonstrate a connection to a micro-US array. We investigate laser ablation process parameters and evaluate the ability to consistently pattern continuous copper traces. A minimum 30- $\mu \text{m}$ pitch was achieved with 5- $\mu \text{m}$ -wide electrode lines, and continuity of a 5-m-long trace is demonstrated. A flexible circuit with 30-mm-long traces with 30- $\mu \text{m}$ line and 30- $\mu \text{m}$ space before fan-out was fabricated to connect in an interleaved manner to a 32-element array with 30- $\mu \text{m}$ element pitch. Metal deposition and laser ablation were used to connect and pattern the element electrodes to the copper traces of the flexible circuit. Electrical and acoustic measurements show good yield and consistent impedance across channels. Element pulse-echo tests demonstrated device functionality; the two-way pulse had 43-MHz center frequency and 40% fractional bandwidth (−6 dB). The proposed manufacturing methods facilitate the prototyping and fabrication of flexible endoscopic or small-footprint micro-US devices.
科研通智能强力驱动
Strongly Powered by AbleSci AI