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Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems

Microrobots have garnered tremendous attention due to their small size, flexible movement, and potential for various in situ treatments. However, functional modification of microrobots has become crucial for their interaction with the environment, except for precise motion control. Here, a novel art...

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Detalles Bibliográficos
Autores principales: Li, Zhongyi, Wang, Kun, Hou, Chaojian, Li, Chunyang, Zhang, Fanqing, Ren, Wu, Dong, Lixin, Zhao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409863/
https://www.ncbi.nlm.nih.gov/pubmed/37565051
http://dx.doi.org/10.1038/s41378-023-00574-4
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author Li, Zhongyi
Wang, Kun
Hou, Chaojian
Li, Chunyang
Zhang, Fanqing
Ren, Wu
Dong, Lixin
Zhao, Jing
author_facet Li, Zhongyi
Wang, Kun
Hou, Chaojian
Li, Chunyang
Zhang, Fanqing
Ren, Wu
Dong, Lixin
Zhao, Jing
author_sort Li, Zhongyi
collection PubMed
description Microrobots have garnered tremendous attention due to their small size, flexible movement, and potential for various in situ treatments. However, functional modification of microrobots has become crucial for their interaction with the environment, except for precise motion control. Here, a novel artificial intelligence (AI) microrobot is designed that can respond to changes in the external environment without an onboard energy supply and transmit signals wirelessly in real time. The AI microrobot can cooperate with external electromagnetic imaging equipment and enhance the local radiofrequency (RF) magnetic field to achieve a large penetration sensing depth and a high spatial resolution. The working ranges are determined by the structure of the sensor circuit, and the corresponding enhancement effect can be modulated by the conductivity and permittivity of the surrounding environment, reaching ~560 times at most. Under the control of an external magnetic field, the magnetic tail can actuate the microrobotic agent to move accurately, with great potential to realize in situ monitoring in different places in the human body, almost noninvasively, especially around potential diseases, which is of great significance for early disease discovery and accurate diagnosis. In addition, the compatible fabrication process can produce swarms of functional microrobots. The findings highlight the feasibility of the self-sensing AI microrobots for the development of in situ diagnosis or even treatment according to sensing signals. [Image: see text]
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spelling pubmed-104098632023-08-10 Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems Li, Zhongyi Wang, Kun Hou, Chaojian Li, Chunyang Zhang, Fanqing Ren, Wu Dong, Lixin Zhao, Jing Microsyst Nanoeng Article Microrobots have garnered tremendous attention due to their small size, flexible movement, and potential for various in situ treatments. However, functional modification of microrobots has become crucial for their interaction with the environment, except for precise motion control. Here, a novel artificial intelligence (AI) microrobot is designed that can respond to changes in the external environment without an onboard energy supply and transmit signals wirelessly in real time. The AI microrobot can cooperate with external electromagnetic imaging equipment and enhance the local radiofrequency (RF) magnetic field to achieve a large penetration sensing depth and a high spatial resolution. The working ranges are determined by the structure of the sensor circuit, and the corresponding enhancement effect can be modulated by the conductivity and permittivity of the surrounding environment, reaching ~560 times at most. Under the control of an external magnetic field, the magnetic tail can actuate the microrobotic agent to move accurately, with great potential to realize in situ monitoring in different places in the human body, almost noninvasively, especially around potential diseases, which is of great significance for early disease discovery and accurate diagnosis. In addition, the compatible fabrication process can produce swarms of functional microrobots. The findings highlight the feasibility of the self-sensing AI microrobots for the development of in situ diagnosis or even treatment according to sensing signals. [Image: see text] Nature Publishing Group UK 2023-08-09 /pmc/articles/PMC10409863/ /pubmed/37565051 http://dx.doi.org/10.1038/s41378-023-00574-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Zhongyi
Wang, Kun
Hou, Chaojian
Li, Chunyang
Zhang, Fanqing
Ren, Wu
Dong, Lixin
Zhao, Jing
Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title_full Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title_fullStr Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title_full_unstemmed Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title_short Self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
title_sort self-sensing intelligent microrobots for noninvasive and wireless monitoring systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409863/
https://www.ncbi.nlm.nih.gov/pubmed/37565051
http://dx.doi.org/10.1038/s41378-023-00574-4
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