AcousNet: A Deep Learning Based Approach to Dynamic 3D Holographic Acoustic Field Generation From Phased Transducer Array

Zhong, Chengxi; Jia, Yuyu; Jeong, David C.; Guo, Yujin; Liu, Song

doi:10.1109/lra.2021.3130368

Cited by 20 publications

(7 citation statements)

References 24 publications

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“…To realize more flexible modulation of the acoustic virtual walls and rolling in three-dimensional (3D) space, a transducer array [66][67][68] can be designed to establish 3D virtual walls and incorporated with a rotational magnetic field having variable rotational axes. However, when it comes to instrumentation and attaining a higher resolution of 3D manipulation, several practical limitations are expected.…”

Section: Discussionmentioning

confidence: 99%

Rolling microswarms along acoustic virtual walls

Zhang¹,

Sukhov

Harting

et al. 2022

Nat Commun

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Rolling is a ubiquitous transport mode utilized by living organisms and engineered systems. However, rolling at the microscale has been constrained by the requirement of a physical boundary to break the spatial homogeneity of surrounding mediums, which limits its prospects for navigation to locations with no boundaries. Here, in the absence of real boundaries, we show that microswarms can execute rolling along virtual walls in liquids, impelled by a combination of magnetic and acoustic fields. A rotational magnetic field causes individual particles to self-assemble and rotate, while the pressure nodes of an acoustic standing wave field serve as virtual walls. The acoustic radiation force pushes the microswarms towards a virtual wall and provides the reaction force needed to break their fore-aft motion symmetry and induce rolling along arbitrary trajectories. The concept of reconfigurable virtual walls overcomes the fundamental limitation of a physical boundary being required for universal rolling movements.

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Section: Discussionmentioning

confidence: 99%

Rolling microswarms along acoustic virtual walls

Zhang¹,

Sukhov

Harting

et al. 2022

Nat Commun

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“…Neural networks have powerful fitting abilities to accomplish complex linear or nonlinear mappings, and Chengxi Zhong et al [ 82 ] used a deep learning-based method, AcousNet, in 2021 to solve the inverse mapping problem from sound field distribution to phase distribution by training to allow the VGG-based neural network model to learn a large number of inverse mapping relations to directly predict the phase distribution of the PTA, which was experimentally demonstrated to be well reconstructed and usable for practical applications, with significantly shorter computation time and faster reconstruction compared to traditional optimization algorithms (IBP) and competitive prediction accuracy and real-time performance in PTA-based holographic sound field generation. It is expected that this acoustic holographic optimization method will improve the performance of many applications by reconstructing high-quality holographic acoustic fields in real time.…”

Section: Application Of Ultrasonic Particle Manipulationmentioning

confidence: 99%

Review of Ultrasonic Particle Manipulation Techniques: Applications and Research Advances

Wang

You

et al. 2023

Micromachines

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Ultrasonic particle manipulation technique is a non-contact label-free method for manipulating micro- and nano-scale particles using ultrasound, which has obvious advantages over traditional optical, magnetic, and electrical micro-manipulation techniques; it has gained extensive attention in micro-nano manipulation in recent years. This paper introduces the basic principles and manipulation methods of ultrasonic particle manipulation techniques, provides a detailed overview of the current mainstream acoustic field generation methods, and also highlights, in particular, the applicable scenarios for different numbers and arrangements of ultrasonic transducer devices. Ultrasonic transducer arrays have been used extensively in various particle manipulation applications, and many sound field reconstruction algorithms based on ultrasonic transducer arrays have been proposed one after another. In this paper, unlike most other previous reviews on ultrasonic particle manipulation, we analyze and summarize the current reconstruction algorithms for generating sound fields based on ultrasonic transducer arrays and compare these algorithms. Finally, we explore the applications of ultrasonic particle manipulation technology in engineering and biological fields and summarize and forecast the research progress of ultrasonic particle manipulation technology. We believe that this review will provide superior guidance for ultrasonic particle manipulation methods based on the study of micro and nano operations.

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“…A limitation of most static metasurface-based holograms [29,38,39] is that only a single and static acoustic field can be generated at a target plane for a given hologram, limiting the range of activities that can be performed, whereas applications in tissue engineering and 3D printing benefit from the incorporation of designed heterogeneity. [40,41] Flexible and reconfigurable acoustic fields can be generated using phased array transducers (PATs), [17,[42][43][44][45][46] in which many ultrasonic devices are individually actuated with varying phase/amplitude. However, the aperture size and drive circuitry of PATs add cost and complexity as the element number increases, [47,48] limiting the spatial resolution at which PATs can create sophisticated wavefront manipulation.…”

Section: Introductionmentioning

confidence: 99%

“…Flexible and reconfigurable acoustic fields can be generated using phased array transducers (PATs), [ 17 , 42 , 43 , 44 , 45 , 46 ] in which many ultrasonic devices are individually actuated with varying phase/amplitude. However, the aperture size and drive circuitry of PATs add cost and complexity as the element number increases, [ 47 , 48 ] limiting the spatial resolution at which PATs can create sophisticated wavefront manipulation.…”

Section: Introductionmentioning

confidence: 99%

Programmable Acoustic Holography using Medium‐Sound‐Speed Modulation

Wang

Harley

et al. 2023

Advanced Science

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Acoustic holography offers the ability to generate designed acoustic fields to manipulate microscale objects. However, the static nature or large aperture sizes of 3D printed acoustic holographic phase plates limits the ability to rapidly alter generated fields. In this work， a programmable acoustic holography approach is demonstrated by which multiple discrete or continuously variable acoustic targets can be created. Here, the holographic phase plate encodes multiple images, where the desired field is produced by modifying the sound speed of an intervening fluid media. Its flexibility is demonstrated in generating various acoustic patterns, including continuous line segments, discrete letters and numbers, using this method as a sound speed indicator and fluid identification tool. This programmable acoustic holography approach has the advantages of generating reconfigurable and designed acoustic fields, with broad potential in microfluidics, cell/tissue engineering, real‐time sensing, and medical ultrasound.

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AcousNet: A Deep Learning Based Approach to Dynamic 3D Holographic Acoustic Field Generation From Phased Transducer Array

Cited by 20 publications

References 24 publications

Rolling microswarms along acoustic virtual walls

Rolling microswarms along acoustic virtual walls

Review of Ultrasonic Particle Manipulation Techniques: Applications and Research Advances

Programmable Acoustic Holography using Medium‐Sound‐Speed Modulation

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