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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,...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9299543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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