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Microrobotic swarms for selective embolization

Inspired by the collective intelligence in natural swarms, microrobotic agents have been controlled to form artificial swarms for targeted drug delivery, enhanced imaging, and hyperthermia. Different from these well-investigated tasks, this work aims to develop microrobotic swarms for embolization,...

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Autores principales: Law, Junhui, Wang, Xian, Luo, Mengxi, Xin, Liming, Du, Xingzhou, Dou, Wenkun, Wang, Tiancong, Shan, Guanqiao, Wang, Yibin, Song, Peng, Huang, Xi, Yu, Jiangfan, Sun, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299543/
https://www.ncbi.nlm.nih.gov/pubmed/35857830
http://dx.doi.org/10.1126/sciadv.abm5752
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author Law, Junhui
Wang, Xian
Luo, Mengxi
Xin, Liming
Du, Xingzhou
Dou, Wenkun
Wang, Tiancong
Shan, Guanqiao
Wang, Yibin
Song, Peng
Huang, Xi
Yu, Jiangfan
Sun, Yu
author_facet Law, Junhui
Wang, Xian
Luo, Mengxi
Xin, Liming
Du, Xingzhou
Dou, Wenkun
Wang, Tiancong
Shan, Guanqiao
Wang, Yibin
Song, Peng
Huang, Xi
Yu, Jiangfan
Sun, Yu
author_sort Law, Junhui
collection PubMed
description Inspired by the collective intelligence in natural swarms, microrobotic agents have been controlled to form artificial swarms for targeted drug delivery, enhanced imaging, and hyperthermia. Different from these well-investigated tasks, this work aims to develop microrobotic swarms for embolization, which is a clinical technique used to block blood vessels for treating tumors, fistulas, and arteriovenous malformations. Magnetic particle swarms were formed for selective embolization to address the low selectivity of the present embolization technique that is prone to cause complications such as stroke and blindness. We established an analytical model that describes the relationships between fluid viscosity, flow rate, branching angle, magnetic field strength, and swarm integrity, based on which an actuation strategy was developed to maintain the swarm integrity inside a targeted region under fluidic flow conditions. Experiments in microfluidic channels, ex vivo tissues, and in vivo porcine kidneys validated the efficacy of the proposed strategy for selective embolization.
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spelling pubmed-92995432022-08-09 Microrobotic swarms for selective embolization Law, Junhui Wang, Xian Luo, Mengxi Xin, Liming Du, Xingzhou Dou, Wenkun Wang, Tiancong Shan, Guanqiao Wang, Yibin Song, Peng Huang, Xi Yu, Jiangfan Sun, Yu Sci Adv Physical and Materials Sciences Inspired by the collective intelligence in natural swarms, microrobotic agents have been controlled to form artificial swarms for targeted drug delivery, enhanced imaging, and hyperthermia. Different from these well-investigated tasks, this work aims to develop microrobotic swarms for embolization, which is a clinical technique used to block blood vessels for treating tumors, fistulas, and arteriovenous malformations. Magnetic particle swarms were formed for selective embolization to address the low selectivity of the present embolization technique that is prone to cause complications such as stroke and blindness. We established an analytical model that describes the relationships between fluid viscosity, flow rate, branching angle, magnetic field strength, and swarm integrity, based on which an actuation strategy was developed to maintain the swarm integrity inside a targeted region under fluidic flow conditions. Experiments in microfluidic channels, ex vivo tissues, and in vivo porcine kidneys validated the efficacy of the proposed strategy for selective embolization. American Association for the Advancement of Science 2022-07-20 /pmc/articles/PMC9299543/ /pubmed/35857830 http://dx.doi.org/10.1126/sciadv.abm5752 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Law, Junhui
Wang, Xian
Luo, Mengxi
Xin, Liming
Du, Xingzhou
Dou, Wenkun
Wang, Tiancong
Shan, Guanqiao
Wang, Yibin
Song, Peng
Huang, Xi
Yu, Jiangfan
Sun, Yu
Microrobotic swarms for selective embolization
title Microrobotic swarms for selective embolization
title_full Microrobotic swarms for selective embolization
title_fullStr Microrobotic swarms for selective embolization
title_full_unstemmed Microrobotic swarms for selective embolization
title_short Microrobotic swarms for selective embolization
title_sort microrobotic swarms for selective embolization
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299543/
https://www.ncbi.nlm.nih.gov/pubmed/35857830
http://dx.doi.org/10.1126/sciadv.abm5752
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