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Lu L, Zhao H, Lu Y, Zhang Y, Wang X, Fan C, Li Z, Wu Z. Design and Control of the Magnetically Actuated Micro/Nanorobot Swarm toward Biomedical Applications. Adv Healthc Mater 2024; 13:e2400414. [PMID: 38412402 DOI: 10.1002/adhm.202400414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 02/22/2024] [Indexed: 02/29/2024]
Abstract
Recently, magnetically actuated micro/nanorobots hold extensive promises in biomedical applications due to their advantages of noninvasiveness, fuel-free operation, and programmable nature. While effectively promised in various fields such as targeted delivery, most past investigations are mainly displayed in magnetic control of individual micro/nanorobots. Facing practical medical use, the micro/nanorobots are required for the development of swarm control in a closed-loop control manner. This review outlines the recent developments in magnetic micro/nanorobot swarms, including their actuating fundamentals, designs, controls, and biomedical applications. The fundamental principles and interactions involved in the formation of magnetic micro/nanorobot swarms are discussed first. The recent advances in the design of artificial and biohybrid micro/nanorobot swarms, along with the control devices and methods used for swarm manipulation, are presented. Furthermore, biomedical applications that have the potential to achieve clinical application are introduced, such as imaging-guided therapy, targeted delivery, embolization, and biofilm eradication. By addressing the potential challenges discussed toward the end of this review, magnetic micro/nanorobot swarms hold promise for clinical treatments in the future.
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Affiliation(s)
- Lu Lu
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
| | - Hongqiao Zhao
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
| | - Yucong Lu
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
| | - Yuxuan Zhang
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
| | - Xinran Wang
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
| | - Chengjuan Fan
- The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Zesheng Li
- Laboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin, 150001, China
| | - Zhiguang Wu
- School of Medicine and Health, Harbin Institute of Technology, Harbin, 150001, China
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, China
- Key Laboratory of Microsystems and Microstructures Manufacturing (Ministry of Education), Harbin Institute of Technology, Harbin, 150001, China
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2
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Xu R, Xu Q. A Survey of Recent Developments in Magnetic Microrobots for Micro-/Nano-Manipulation. MICROMACHINES 2024; 15:468. [PMID: 38675279 PMCID: PMC11052276 DOI: 10.3390/mi15040468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 03/23/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
Magnetically actuated microrobots have become a research hotspot in recent years due to their tiny size, untethered control, and rapid response capability. Moreover, an increasing number of researchers are applying them for micro-/nano-manipulation in the biomedical field. This survey provides a comprehensive overview of the recent developments in magnetic microrobots, focusing on materials, propulsion mechanisms, design strategies, fabrication techniques, and diverse micro-/nano-manipulation applications. The exploration of magnetic materials, biosafety considerations, and propulsion methods serves as a foundation for the diverse designs discussed in this review. The paper delves into the design categories, encompassing helical, surface, ciliary, scaffold, and biohybrid microrobots, with each demonstrating unique capabilities. Furthermore, various fabrication techniques, including direct laser writing, glancing angle deposition, biotemplating synthesis, template-assisted electrochemical deposition, and magnetic self-assembly, are examined owing to their contributions to the realization of magnetic microrobots. The potential impact of magnetic microrobots across multidisciplinary domains is presented through various application areas, such as drug delivery, minimally invasive surgery, cell manipulation, and environmental remediation. This review highlights a comprehensive summary of the current challenges, hurdles to overcome, and future directions in magnetic microrobot research across different fields.
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Affiliation(s)
| | - Qingsong Xu
- Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macau, China;
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Liu X, Jing Y, Xu C, Wang X, Xie X, Zhu Y, Dai L, Wang H, Wang L, Yu S. Medical Imaging Technology for Micro/Nanorobots. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2872. [PMID: 37947717 PMCID: PMC10648532 DOI: 10.3390/nano13212872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/12/2023]
Abstract
Due to their enormous potential to be navigated through complex biological media or narrow capillaries, microrobots have demonstrated their potential in a variety of biomedical applications, such as assisted fertilization, targeted drug delivery, tissue repair, and regeneration. Numerous initial studies have been conducted to demonstrate the biomedical applications in test tubes and in vitro environments. Microrobots can reach human areas that are difficult to reach by existing medical devices through precise navigation. Medical imaging technology is essential for locating and tracking this small treatment machine for evaluation. This article discusses the progress of imaging in tracking the imaging of micro and nano robots in vivo and analyzes the current status of imaging technology for microrobots. The working principle and imaging parameters (temporal resolution, spatial resolution, and penetration depth) of each imaging technology are discussed in depth.
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Affiliation(s)
- Xuejia Liu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Yizhan Jing
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Chengxin Xu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Xiaoxiao Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Xiaopeng Xie
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Yanhe Zhu
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Lizhou Dai
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Haocheng Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Lin Wang
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China; (X.L.); (Y.J.); (C.X.); (X.W.); (X.X.); (Y.Z.); (L.D.); (L.W.)
| | - Shimin Yu
- College of Engineering, Ocean University of China, Qingdao 266100, China
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4
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Chen F, Chen L, Xu T, Ye H, Liao H, Zhang D. Precise angle estimation of capsule robot in ultrasound using heatmap guided two-stage network. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 240:107605. [PMID: 37390795 DOI: 10.1016/j.cmpb.2023.107605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 07/02/2023]
Abstract
PURPOSE A capsule robot can be controlled inside gastrointestinal (GI) tract by an external permanent magnet outside of human body for finishing non-invasive diagnosis and treatment. Locomotion control of capsule robot relies on the precise angle feedback that can be achieved by ultrasound imaging. However, ultrasound-based angle estimation of capsule robot is interfered by gastric wall tissue and the mixture of air, water, and digestive matter existing in the stomach. METHODS To tackle these issues, we introduce a heatmap guided two-stage network to detect the position and estimate the angle of the capsule robot in ultrasound images. Specifically, this network proposes the probability distribution module and skeleton extraction-based angle calculation to obtain accurate capsule robot position and angle estimation. RESULTS Extensive experiments were finished on the ultrasound image dataset of capsule robot within porcine stomach. Empirical results showed that our method obtained small position center error of 0.48 mm and high angle estimation accuracy of 96.32%. CONCLUSION Our method can provide precise angle feedback for locomotion control of capsule robot.
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Affiliation(s)
- Fang Chen
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
| | - Lingyu Chen
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Tianze Xu
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Haoran Ye
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Hongen Liao
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, China
| | - Daoqiang Zhang
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China; College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Kararsiz G, Duygu YC, Wang Z, Rogowski LW, Park SJ, Kim MJ. Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers. MICROMACHINES 2023; 14:1209. [PMID: 37374794 DOI: 10.3390/mi14061209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023]
Abstract
This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobots. Polyacrylamide (PAA), a water-soluble polymer, is used to create a dynamic environment with non-Newtonian fluid properties. Microrobots are fabricated via an extrusion-based microcentrifugal droplet method, successfully demonstrating the feasibility of both wiggling and tumbling motions. Specifically, the wiggling motion primarily results from the interplay between the viscoelastic fluid environment and the microrobots' non-uniform magnetization. Furthermore, it is discovered that the viscoelasticity properties of the fluid influence the motion behavior of the microrobots, leading to non-uniform behavior in complex environments for microrobot swarms. Through velocity analysis, valuable insights into the relationship between applied magnetic fields and motion characteristics are obtained, facilitating a more realistic understanding of surface locomotion for targeted drug delivery purposes while accounting for swarm dynamics and non-uniform behavior.
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Affiliation(s)
- Gokhan Kararsiz
- Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA
| | - Yasin Cagatay Duygu
- Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA
| | - Zhengguang Wang
- Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA
| | - Louis William Rogowski
- Applied Research Associates, Inc. (ARA), 4300 San Mateo Blvd. NE, Suite A-220, Albuquerque, NM 87110, USA
| | - Sung Jea Park
- School of Mechanical Engineering, Korea University of Technology and Education, Cheonan 31253, Chungnam, Republic of Korea
| | - Min Jun Kim
- Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA
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Liu X, Esser D, Wagstaff B, Zavodni A, Matsuura N, Kelly J, Diller E. Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning. Sci Rep 2022; 12:21130. [PMID: 36476715 PMCID: PMC9729303 DOI: 10.1038/s41598-022-25572-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Ingestible robotic capsules with locomotion capabilities and on-board sampling mechanism have great potential for non-invasive diagnostic and interventional use in the gastrointestinal tract. Real-time tracking of capsule location and operational state is necessary for clinical application, yet remains a significant challenge. To this end, we propose an approach that can simultaneously determine the mechanism state and in-plane 2D pose of millimeter capsule robots in an anatomically representative environment using ultrasound imaging. Our work proposes an attention-based hierarchical deep learning approach and adapts the success of transfer learning towards solving the multi-task tracking problem with limited dataset. To train the neural networks, we generate a representative dataset of a robotic capsule within ex-vivo porcine stomachs. Experimental results show that the accuracy of capsule state classification is 97%, and the mean estimation errors for orientation and centroid position are 2.0 degrees and 0.24 mm (1.7% of the capsule's body length) on the hold-out test set. Accurate detection of the capsule while manipulated by an external magnet in a porcine stomach and colon is also demonstrated. The results suggest our proposed method has the potential for advancing the wireless capsule-based technologies by providing accurate detection of capsule robots in clinical scenarios.
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Affiliation(s)
- Xiaoyun Liu
- grid.17063.330000 0001 2157 2938Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S1A8 Canada
| | - Daniel Esser
- grid.152326.10000 0001 2264 7217Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235 USA
| | - Brandon Wagstaff
- grid.17063.330000 0001 2157 2938University of Toronto Institute of Aerospace Studies, University of Toronto, Toronto, ON M5S1A8 Canada
| | - Anna Zavodni
- grid.17063.330000 0001 2157 2938Division of Cardiology, Department of Medicine, University of Toronto, Toronto, ON M5S1A8 Canada
| | - Naomi Matsuura
- grid.17063.330000 0001 2157 2938Department of Materials Science and Engineering and Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S1A8 Canada
| | - Jonathan Kelly
- grid.17063.330000 0001 2157 2938University of Toronto Institute of Aerospace Studies, University of Toronto, Toronto, ON M5S1A8 Canada
| | - Eric Diller
- grid.17063.330000 0001 2157 2938Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S1A8 Canada
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7
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Pane S, Faoro G, Sinibaldi E, Iacovacci V, Menciassi A. Ultrasound Acoustic Phase Analysis Enables Robotic Visual-Servoing of Magnetic Microrobots. IEEE T ROBOT 2022. [DOI: 10.1109/tro.2022.3143072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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8
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Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis. Sci Rep 2021; 11:23239. [PMID: 34853369 PMCID: PMC8636564 DOI: 10.1038/s41598-021-02553-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 11/18/2021] [Indexed: 12/30/2022] Open
Abstract
Microrobots (MRs) have attracted significant interest for their potentialities in diagnosis and non-invasive intervention in hard-to-reach body areas. Fine control of biomedical MRs requires real-time feedback on their position and configuration. Ultrasound (US) imaging stands as a mature and advantageous technology for MRs tracking, but it suffers from disturbances due to low contrast resolution. To overcome these limitations and make US imaging suitable for monitoring and tracking MRs, we propose a US contrast enhancement mechanism for MR visualization in echogenic backgrounds (e.g., tissue). Our technique exploits the specific acoustic phase modulation produced by the MR characteristic motions. By applying this principle, we performed real-time visualization and position tracking of a magnetic MR rolling on a lumen boundary, both in static flow and opposing flow conditions, with an average error of 0.25 body-lengths. Overall, the reported results unveil countless possibilities to exploit the proposed approach as a robust feedback strategy for monitoring and tracking biomedical MRs in-vivo.
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9
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A Review of Microrobot's System: Towards System Integration for Autonomous Actuation In Vivo. MICROMACHINES 2021; 12:mi12101249. [PMID: 34683300 PMCID: PMC8540518 DOI: 10.3390/mi12101249] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/07/2021] [Accepted: 10/11/2021] [Indexed: 12/30/2022]
Abstract
Microrobots have received great attention due to their great potential in the biomedical field, and there has been extraordinary progress on them in many respects, making it possible to use them in vivo clinically. However, the most important question is how to get microrobots to a given position accurately. Therefore, autonomous actuation technology based on medical imaging has become the solution receiving the most attention considering its low precision and efficiency of manual control. This paper investigates key components of microrobot’s autonomous actuation systems, including actuation systems, medical imaging systems, and control systems, hoping to help realize system integration of them. The hardware integration has two situations according to sharing the transmitting equipment or not, with the consideration of interference, efficiency, microrobot’s material and structure. Furthermore, system integration of hybrid actuation and multimodal imaging can improve the navigation effect of the microrobot. The software integration needs to consider the characteristics and deficiencies of the existing actuation algorithms, imaging algorithms, and the complex 3D working environment in vivo. Additionally, considering the moving distance in the human body, the autonomous actuation system combined with rapid delivery methods can deliver microrobots to specify position rapidly and precisely.
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10
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Mohanty S, Khalil ISM, Misra S. Contactless acoustic micro/nano manipulation: a paradigm for next generation applications in life sciences. Proc Math Phys Eng Sci 2020; 476:20200621. [PMID: 33363443 PMCID: PMC7735305 DOI: 10.1098/rspa.2020.0621] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/20/2020] [Indexed: 12/14/2022] Open
Abstract
Acoustic actuation techniques offer a promising tool for contactless manipulation of both synthetic and biological micro/nano agents that encompass different length scales. The traditional usage of sound waves has steadily progressed from mid-air manipulation of salt grains to sophisticated techniques that employ nanoparticle flow in microfluidic networks. State-of-the-art in microfabrication and instrumentation have further expanded the outreach of these actuation techniques to autonomous propulsion of micro-agents. In this review article, we provide a universal perspective of the known acoustic micromanipulation technologies in terms of their applications and governing physics. Hereby, we survey these technologies and classify them with regards to passive and active manipulation of agents. These manipulation methods account for both intelligent devices adept at dexterous non-contact handling of micro-agents, and acoustically induced mechanisms for self-propulsion of micro-robots. Moreover, owing to the clinical compliance of ultrasound, we provide future considerations of acoustic manipulation techniques to be fruitfully employed in biological applications that range from label-free drug testing to minimally invasive clinical interventions.
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Affiliation(s)
- Sumit Mohanty
- Surgical Robotics Laboratory, Department of Biomechanical Engineering, University of Twente, 7522 NB Enschede, The Netherlands
| | - Islam S. M. Khalil
- Surgical Robotics Laboratory, Department of Biomechanical Engineering, University of Twente, 7522 NB Enschede, The Netherlands
| | - Sarthak Misra
- Surgical Robotics Laboratory, Department of Biomechanical Engineering, University of Twente, 7522 NB Enschede, The Netherlands
- Surgical Robotics Laboratory, Department of Biomedical Engineering, University Medical Center Groningen, 9713 AV Groningen, The Netherlands
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Sikorski J, Mohanty S, Misra S. MILiMAC: Flexible Catheter With Miniaturized Electromagnets as a Small-Footprint System for Microrobotic Tasks. IEEE Robot Autom Lett 2020. [DOI: 10.1109/lra.2020.3004323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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12
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Aziz A, Pane S, Iacovacci V, Koukourakis N, Czarske J, Menciassi A, Medina-Sánchez M, Schmidt OG. Medical Imaging of Microrobots: Toward In Vivo Applications. ACS NANO 2020; 14:10865-10893. [PMID: 32869971 DOI: 10.1021/acsnano.0c05530] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Medical microrobots (MRs) have been demonstrated for a variety of non-invasive biomedical applications, such as tissue engineering, drug delivery, and assisted fertilization, among others. However, most of these demonstrations have been carried out in in vitro settings and under optical microscopy, being significantly different from the clinical practice. Thus, medical imaging techniques are required for localizing and tracking such tiny therapeutic machines when used in medical-relevant applications. This review aims at analyzing the state of the art of microrobots imaging by critically discussing the potentialities and limitations of the techniques employed in this field. Moreover, the physics and the working principle behind each analyzed imaging strategy, the spatiotemporal resolution, and the penetration depth are thoroughly discussed. The paper deals with the suitability of each imaging technique for tracking single or swarms of MRs and discusses the scenarios where contrast or imaging agent's inclusion is required, either to absorb, emit, or reflect a determined physical signal detected by an external system. Finally, the review highlights the existing challenges and perspective solutions which could be promising for future in vivo applications.
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Affiliation(s)
- Azaam Aziz
- Institute for Integrative Nanosciences, Leibniz IFW Dresden, Helmholtzstrasse 20, 01069 Dresden, Germany
| | - Stefano Pane
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Veronica Iacovacci
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Nektarios Koukourakis
- Chair of Measurement and Sensor System Technique, School of Engineering, TU Dresden, Helmholtzstrasse 18, 01069 Dresden, Germany
- Center for Biomedical Computational Laser Systems, TU Dresden, 01062 Dresden, Germany
| | - Jürgen Czarske
- Chair of Measurement and Sensor System Technique, School of Engineering, TU Dresden, Helmholtzstrasse 18, 01069 Dresden, Germany
- Cluster of Excellence Physics of Life, TU Dresden, 01307 Dresden, Germany
- Center for Biomedical Computational Laser Systems, TU Dresden, 01062 Dresden, Germany
| | - Arianna Menciassi
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56025, Italy
- Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Mariana Medina-Sánchez
- Institute for Integrative Nanosciences, Leibniz IFW Dresden, Helmholtzstrasse 20, 01069 Dresden, Germany
| | - Oliver G Schmidt
- Institute for Integrative Nanosciences, Leibniz IFW Dresden, Helmholtzstrasse 20, 01069 Dresden, Germany
- Center for Materials, Architectures, and Integration of Nanomembranes (MAIN), TU Chemnitz, Reichenhainer Strasse 10, 09107 Chemnitz, Germany
- School of Science, TU Dresden, 01062 Dresden, Germany
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13
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Abstract
Untethered miniature robots have significant poten-tial and promise in diverse minimally invasive medical applications inside the human body. For drug delivery and physical contra-ception applications inside tubular structures, it is desirable to have a miniature anchoring robot with self-locking mechanism at a target tubular region. Moreover, the behavior of this robot should be tracked and feedback-controlled by a medical imaging-based system. While such a system is unavailable, we report a reversible untethered anchoring robot design based on remote magnetic actuation. The current robot prototype's dimension is 7.5 mm in diameter, 17.8 mm in length, and made of soft polyurethane elastomer, photopolymer, and two tiny permanent magnets. Its relaxation and anchoring states can be maintained in a stable manner without supplying any control and actuation input. To control the robot's locomotion, we implement a two-dimensional (2D) ultrasound imaging-based tracking and control system, which automatically sweeps locally and updates the robot's position. With such a system, we demonstrate that the robot can be controlled to follow a pre-defined 1D path with the maximal position error of 0.53 ± 0.05 mm inside a tubular phantom, where the reversible anchoring could be achieved under the monitoring of ultrasound imaging.
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Affiliation(s)
- Tianlu Wang
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
| | - Wenqi Hu
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
| | - Ziyu Ren
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
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