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Spatial ultrasound modulation by digitally controlling microbubble arrays

Author

Listed:
  • Zhichao Ma

    (Max Planck Institute for Intelligent Systems)

  • Kai Melde

    (Max Planck Institute for Intelligent Systems)

  • Athanasios G. Athanassiadis

    (Max Planck Institute for Intelligent Systems)

  • Michael Schau

    (Institut für Mikroelektronik Stuttgart)

  • Harald Richter

    (Institut für Mikroelektronik Stuttgart)

  • Tian Qiu

    (Max Planck Institute for Intelligent Systems
    University of Stuttgart)

  • Peer Fischer

    (Max Planck Institute for Intelligent Systems
    University of Stuttgart)

Abstract

Acoustic waves, capable of transmitting through optically opaque objects, have been widely used in biomedical imaging, industrial sensing and particle manipulation. High-fidelity wave front shaping is essential to further improve performance in these applications. An acoustic analog to the successful spatial light modulator (SLM) in optics would be highly desirable. To date there have been no techniques shown that provide effective and dynamic modulation of a sound wave and which also support scale-up to a high number of individually addressable pixels. In the present study, we introduce a dynamic spatial ultrasound modulator (SUM), which dynamically reshapes incident plane waves into complex acoustic images. Its transmission function is set with a digitally generated pattern of microbubbles controlled by a complementary metal–oxide–semiconductor (CMOS) chip, which results in a binary amplitude acoustic hologram. We employ this device to project sequentially changing acoustic images and demonstrate the first dynamic parallel assembly of microparticles using a SUM.

Suggested Citation

  • Zhichao Ma & Kai Melde & Athanasios G. Athanassiadis & Michael Schau & Harald Richter & Tian Qiu & Peer Fischer, 2020. "Spatial ultrasound modulation by digitally controlling microbubble arrays," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18347-2
    DOI: 10.1038/s41467-020-18347-2
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    Cited by:

    1. Ruoqin Zhang & Xichuan Zhao & Jinzhi Li & Di Zhou & Honglian Guo & Zhi-yuan Li & Feng Li, 2024. "Programmable photoacoustic patterning of microparticles in air," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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