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在表面微机械光学超声换能器阵列上集成微透镜,以提高并行数据读出的检测灵敏度。

Integration of microlenses on surface-micromachined optical ultrasound transducer array to improve detection sensitivity for parallel data readout.

出版信息

Opt Lett. 2023 Feb 1;48(3):652-655. doi: 10.1364/OL.476774.

Abstract

This Letter reports the integration of microlenses (MLs) on a surface-micromachined optical ultrasound transducer (SMOUT) array to enable parallel ultrasound data readout from a multiplicity of elements. The MLs are fabricated by photoresist patterning and reflow, and their focal lengths are optimized with parametric studies. Experiments are conducted to characterize the acoustic responsivity and its uniformity of the SMOUT-ML elements under different conditions. The temporal stability of SMOUT-ML elements immersed in water is assessed by monitoring their acoustic response continuously for 1 week. Parallel ultrasound signal readout is simulated with a small group of SMOUT-ML elements. Experimental results show that high acoustic sensitivity and excellent long-term stability can be achieved by the ML-integrated SMOUT array, which could provide a promising approach for enabling parallel ultrasound data acquisition for improving the imaging speed of 3D acoustic tomography.

摘要

这封信件报告了微透镜 (MLs) 与表面微机械超声换能器 (SMOUT) 阵列的集成,以实现来自多个元件的超声数据的并行读取。MLs 通过光刻胶图案化和再流来制造,其焦距通过参数研究进行优化。实验进行了表征不同条件下 SMOUT-ML 元件的声响应及其均匀性。通过连续监测声响应,评估了浸入水中的 SMOUT-ML 元件的时间稳定性一周。使用一小组 SMOUT-ML 元件对并行超声信号读取进行了模拟。实验结果表明,通过 ML 集成的 SM OUT 阵列可以实现高灵敏度和优异的长期稳定性,这为实现并行超声数据采集提供了有前途的方法,可提高 3D 声层析成像的成像速度。

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