An acoustically controlled helical microrobot

Science Advances, Journal Year: 2023, Volume and Issue: 9(38)

Published: Sept. 20, 2023

As a next-generation toolkit, microrobots can transform wide range of fields, including micromanufacturing, electronics, microfluidics, tissue engineering, and medicine. While still in their infancy, acoustically actuated are becoming increasingly attractive. However, the interaction acoustics with microstructure geometry is poorly understood, its study necessary for developing powered microrobots. We present an driven helical microrobot length 350 μm diameter 100 that capable locomotion using fin-like double-helix microstructure. This responds to sound stimuli at ~12 19 kHz mimics spiral motion natural microswimmers such as spirochetes. The asymmetric double helix interacts incident acoustic field, inducing propulsion torque causes rotate around long axis. Moreover, our has unique feature directionality being switchable by simply tuning frequency. demonstrate this 2D 3D artificial vasculatures single source.

Language: Английский

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Machine learning for micro- and nanorobots

Nature Machine Intelligence, Journal Year: 2024, Volume and Issue: 6(6), P. 605 - 618

Published: June 27, 2024

Language: Английский

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A robot-assisted acoustofluidic end effector

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Oct. 26, 2022

Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, both do-it-yourself and commercial robotic systems are available; however, for microscale, reagents expensive sample preparation difficult. Over last decade, lab-on-a-chip (LOC) have come to serve microscale manipulation; lacking automation multi-functionality. Despite their potential synergies, each has grown separately no suitable interface yet exists link macro-level robotics with micro-level LOC or microfluidic devices. Here, we present a robot-assisted acoustofluidic end effector (RAEE) system, comprising arm an effector, that combines functionalities. We further carried out fluid pumping, particle zebrafish embryo trapping, mobile mixing complex viscous liquids. Finally, pre-programmed RAEE perform automated liquids in well plates, illustrating its versatility automatic execution chemical

Language: Английский

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Acoustic microbubble propulsion, train-like assembly and cargo transport

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Aug. 5, 2023

Achieving controlled mobility of microparticles in viscous fluids can become pivotal biologics, biotechniques, and biomedical applications. The self-assembly, trapping, transport are being explored active matter, micro nanorobotics, microfluidics; however, little work has been done acoustics, particularly matter robotics. This study reports the discovery characterization microbubble behaviors a gel that is confined to slight opening between glass boundaries an acoustic field. Where incident waves encounter narrow slit, pressure amplified, causing microbubbles nucleate cavitate within it. Intermittent activation transforms from spherical ellipsoidal, allowing them be trapped interstice. Continuous propels ellipsoidal through shape volume modes developed at their surfaces. Ensembles self-assemble into train-like arrangement, which turn capture, transport, release microparticles.

Language: Английский

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AI-enhanced biomedical micro/nanorobots in microfluidics

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(5), P. 1419 - 1440

Published: Jan. 1, 2024

Although developed independently at the beginning, AI, micro/nanorobots and microfluidics have become more intertwined in past few years which has greatly propelled cutting-edge development fields of biomedical sciences.

Language: Английский

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Medical Microrobots

Annual Review of Biomedical Engineering, Journal Year: 2024, Volume and Issue: 26(1), P. 561 - 591

Published: April 10, 2024

Scientists around the world have long aimed to produce miniature robots that can be controlled inside human body aid doctors in identifying and treating diseases. Such microrobots hold potential access hard-to-reach areas of through natural lumina. Wireless has overcome drawbacks systemic therapy, as well enable completely new minimally invasive procedures. The aim this review is fourfold: first, provide a collection valuable anatomical physiological information on target working environments together with engineering tools for design medical microrobots; second, comprehensive updated survey technological state art relevant classes third, analyze currently available tracking closed-loop control strategies compatible in-body environment; fourth, explore challenges still place, steer inspire future research.

Language: Английский

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AcousticRobots: Smart acoustically powered micro-/nanoswimmers for precise biomedical applications

Advanced Drug Delivery Reviews, Journal Year: 2024, Volume and Issue: 207, P. 115201 - 115201

Published: Feb. 6, 2024

Language: Английский

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Next-Generation Microfluidics for Biomedical Research and Healthcare Applications

Biomedical Engineering and Computational Biology, Journal Year: 2023, Volume and Issue: 14

Published: Jan. 1, 2023

Microfluidic systems offer versatile biomedical tools and methods to enhance human convenience health. Advances in these enables next-generation microfluidics that integrates automation, manipulation, smart readout systems, as well design three-dimensional (3D) printing for precise production of microchannels other microstructures rapidly with great flexibility. These 3D-printed microfluidic platforms not only control the complex fluid behavior various applications, but also serve microconduits building 3D tissue constructs—an integral component advanced drug development, toxicity assessment, accurate disease modeling. Furthermore, integration emerging technologies, such microscopy robotics, spatiotemporal manipulation high-throughput screening cell physiology within precisely controlled microenvironments. Notably, portability high precision automation capabilities integrated facilitate rapid experimentation data acquisition help deepen our understanding biological their behaviors. While certain challenges, including material compatibility, scaling, standardization still exist, artificial intelligence, Internet Things, materials, miniaturization holds tremendous promise reshaping traditional approaches. This transformative potential, when has potential revolutionize research healthcare ultimately benefiting review highlights advances field emphasizes critical role next generation advancing research, point-of-care diagnostics, systems.

Language: Английский

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Acoustic manipulation of multi-body structures and dynamics

Reports on Progress in Physics, Journal Year: 2024, Volume and Issue: 87(6), P. 064601 - 064601

Published: April 26, 2024

Abstract Sound can exert forces on objects of any material and shape. This has made the contactless manipulation by intense ultrasound a fascinating area research with wide-ranging applications. While much is understood for acoustic forcing individual objects, sound-mediated interactions among multiple at close range gives rise to rich set structures dynamics that are less explored have been emerging as frontier research. We introduce basic mechanisms giving rigid well deformable particles, focusing regime where particles’ size spacing smaller than sound wavelength. The interplay secondary scattering, Bjerknes forces, micro-streaming discussed role particle shape highlighted. Furthermore, we present recent advances in characterizing non-conservative non-pairwise additive contributions interactions, along instabilities active fluctuations. These excitations emerge sufficiently strong energy density act an effective temperature otherwise athermal systems.

Language: Английский

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Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions

ChemPhysMater, Journal Year: 2024, Volume and Issue: 3(3), P. 273 - 283

Published: June 20, 2024

Micro-/nano-motors (MNMs) or swimmers are minuscule machines that can convert various forms of energy, such as chemical, electrical, magnetic into motion. These devices have attracted significant attention owing to their potential application in a wide range fields drug delivery, sensing, and microfabrication. However, diverse shapes, sizes, structural/chemical compositions, the development MNMs faces several challenges, understanding structure-function relationships, which is crucial for achieving precise control over motion within complex environments. In recent years, machine learning techniques shown promise addressing these challenges improving performance MNMs. Machine analyze large amounts data, learn from patterns, make predictions, thereby enabling navigate environments, avoid obstacles, perform tasks with higher efficiency reliability. This review introduces current state-of-the-art MNM research, particular focus on employing understand manipulate navigation locomotion Finally, we discuss opportunities this field suggest future research directions.

Language: Английский

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