IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms9661.html
   My bibliography  Save this article

Holographic acoustic elements for manipulation of levitated objects

Author

Listed:
  • Asier Marzo

    (Deparment of Mathematics and Computer Engineering, Public University of Navarre
    University of Bristol)

  • Sue Ann Seah

    (Ultrahaptics Ltd, Engine Shed, Station Approach)

  • Bruce W. Drinkwater

    (University of Bristol)

  • Deepak Ranjan Sahoo

    (University of Sussex)

  • Benjamin Long

    (Ultrahaptics Ltd, Engine Shed, Station Approach)

  • Sriram Subramanian

    (University of Sussex)

Abstract

Sound can levitate objects of different sizes and materials through air, water and tissue. This allows us to manipulate cells, liquids, compounds or living things without touching or contaminating them. However, acoustic levitation has required the targets to be enclosed with acoustic elements or had limited manoeuvrability. Here we optimize the phases used to drive an ultrasonic phased array and show that acoustic levitation can be employed to translate, rotate and manipulate particles using even a single-sided emitter. Furthermore, we introduce the holographic acoustic elements framework that permits the rapid generation of traps and provides a bridge between optical and acoustical trapping. Acoustic structures shaped as tweezers, twisters or bottles emerge as the optimum mechanisms for tractor beams or containerless transportation. Single-beam levitation could manipulate particles inside our body for applications in targeted drug delivery or acoustically controlled micro-machines that do not interfere with magnetic resonance imaging.

Suggested Citation

  • Asier Marzo & Sue Ann Seah & Bruce W. Drinkwater & Deepak Ranjan Sahoo & Benjamin Long & Sriram Subramanian, 2015. "Holographic acoustic elements for manipulation of levitated objects," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9661
    DOI: 10.1038/ncomms9661
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms9661
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms9661?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mia Kvåle Løvmo & Shiyu Deng & Simon Moser & Rainer Leitgeb & Wolfgang Drexler & Monika Ritsch-Marte, 2024. "Ultrasound-induced reorientation for multi-angle optical coherence tomography," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Xueyan Chen & Qianqian Ding & Chao Bi & Jian Ruan & Shikuan Yang, 2022. "Lossless enrichment of trace analytes in levitating droplets for multiphase and multiplex detection," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Jakub Janiak & Yuyang Li & Yann Ferry & Alexander A. Doinikov & Daniel Ahmed, 2023. "Acoustic microbubble propulsion, train-like assembly and cargo transport," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Mahdi Derayatifar & Mohsen Habibi & Rama Bhat & Muthukumaran Packirisamy, 2024. "Holographic direct sound printing," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Ye Yang & Yaozhang Yang & Dingyuan Liu & Yuanyuan Wang & Minqiao Lu & Qi Zhang & Jiqing Huang & Yongchuan Li & Teng Ma & Fei Yan & Hairong Zheng, 2023. "In-vivo programmable acoustic manipulation of genetically engineered bacteria," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    6. 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.
    7. Zhiyuan Zhang & Alexander Sukhov & Jens Harting & Paolo Malgaretti & Daniel Ahmed, 2022. "Rolling microswarms along acoustic virtual walls," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    8. Xiao Li & Yongyin Cao & Jack Ng, 2024. "Non-Hermitian non-equipartition theory for trapped particles," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    9. Matthew Stein & Sam Keller & Yujie Luo & Ognjen Ilic, 2022. "Shaping contactless radiation forces through anomalous acoustic scattering," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.