Parallel interrogation of the chalcogenide-based micro-ring sensor array for photoacoustic tomography

Jingshun Pan, Qiang Li, Yaoming Feng, Ruifeng Zhong, Zhihao Fu, Shuixian Yang, Weiyuan Sun, Bin Zhang, Qi Sui, Jun Chen, Yuecheng Shen () and Zhaohui Li ()
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Jingshun Pan: Sun Yat-sen University
Qiang Li: Sun Yat-sen University
Yaoming Feng: Sun Yat-sen University
Ruifeng Zhong: Sun Yat-sen University
Zhihao Fu: Sun Yat-sen University
Shuixian Yang: Sun Yat-sen University
Weiyuan Sun: Sun Yat-sen University
Bin Zhang: Sun Yat-sen University
Qi Sui: Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
Jun Chen: Sun Yat-sen University
Yuecheng Shen: Sun Yat-sen University
Zhaohui Li: Sun Yat-sen University

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Photoacoustic tomography (PAT), also known as optoacoustic tomography, is an attractive imaging modality that provides optical contrast with acoustic resolutions. Recent progress in the applications of PAT largely relies on the development and employment of ultrasound sensor arrays with many elements. Although on-chip optical ultrasound sensors have been demonstrated with high sensitivity, large bandwidth, and small size, PAT with on-chip optical ultrasound sensor arrays is rarely reported. In this work, we demonstrate PAT with a chalcogenide-based micro-ring sensor array containing 15 elements, while each element supports a bandwidth of 175 MHz (−6 dB) and a noise-equivalent pressure of 2.2 mPaHz−1/2. Moreover, by synthesizing a digital optical frequency comb (DOFC), we further develop an effective means of parallel interrogation to this sensor array. As a proof of concept, parallel interrogation with only one light source and one photoreceiver is demonstrated for PAT with this sensor array, providing images of fast-moving objects, leaf veins, and live zebrafish. The superior performance of the chalcogenide-based micro-ring sensor array and the effectiveness of the DOFC-enabled parallel interrogation offer great prospects for advancing applications in PAT.

Date: 2023
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DOI: 10.1038/s41467-023-39075-3

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