1
|
Ioannidis K, Dimopoulos A, Decoene I, Guilliams M, Svitina H, Storozhuk L, de Oliveira‐Silva R, Basov S, Thanh NTK, Mourdikoudis S, Van Bael MJ, Smeets B, Sakellariou D, Papantoniou I. 4D Biofabrication of Magnetically Augmented Callus Assembloid Implants Enables Rapid Endochondral Ossification via Activation of Mechanosensitive Pathways. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2413680. [PMID: 39998420 PMCID: PMC12005758 DOI: 10.1002/advs.202413680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 01/31/2025] [Indexed: 02/26/2025]
Abstract
The use of magnetic-driven strategies for non-contact manipulation of engineered living modules opens up new possibilities for tissue engineering. The integration of magnetic nanoparticles (MNPs) with cartilaginous microtissues enables model-driven 4D bottom-up biofabrication of remotely actuated assembloids, providing unique properties to mechanoresponsive tissues, particularly skeletal constructs. However, for clinical use, the long-term effects of magnetic stimulation on phenotype and in vivo functionality need further exploration. Magnetic-driven biofabrication includes both rapid processes, such as guided microtissue assembly, and slower biological processes, like extracellular matrix secretion. This work explores the interplay between magnetic fields and MNP-loaded cartilaginous microtissues through mathematical modeling and experimental approaches, investigating long-term stimulation effects on ECM maturation and chondrogenic hypertrophy. Transcriptomic analysis reveal that magnetic stimulation activated mechanosensitive pathways and catabolic processes, driving accelerated cartilage-to-bone transitions via endochondral ossification, outcomes not observed in non-stimulated controls. This study paves the way for pre-programmed, remotely actuated skeletal assembloids with superior bone-forming capacity for regenerating challenging bone fractures.
Collapse
Affiliation(s)
- Konstantinos Ioannidis
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
| | - Andreas Dimopoulos
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
| | - Isaak Decoene
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
| | - Maya Guilliams
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
- MeBioS division, Biosystems DepartmentKU LeuvenKasteelpark, Arenberg 30Leuven3001Belgium
| | - Hanna Svitina
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
| | - Liudmyla Storozhuk
- Healthcare Biomagnetics and Nanomaterials Laboratories, Department of Medical Physics and Biomedical EngineeringUniversity College London21 Albemarle StreetLondonW1S 4BSUK
- London Centre for NanotechnologyUniversity College London17‐19 Gordon StreetLondonWC1H 0AHUK
| | - Rodrigo de Oliveira‐Silva
- Membrane Separations, Adsorption, Catalysis, and Spectroscopy for Sustainable Solutions (cMACS), Department of Microbial and Molecular SystemsKU LeuvenCelestijnenlaan 200F, PB 2454Leuven3001Belgium
| | - Sergey Basov
- Quantum Solid State Physics, Department of Physics and AstronomyKU LeuvenCelestijnenlaan 200DLeuven3001Belgium
| | - Nguyen Thi Kim Thanh
- Healthcare Biomagnetics and Nanomaterials Laboratories, Department of Medical Physics and Biomedical EngineeringUniversity College London21 Albemarle StreetLondonW1S 4BSUK
- Biophysics Group, Department of Physics and AstronomyUniversity College LondonGower StreetLondonWC1E 6BTUK
| | - Stefanos Mourdikoudis
- CINBIO, Department of Physical Chemistry, Campus Universitario, Lagoas MarcosendeUniversidade de VigoVigo36310Spain
| | - Margriet J. Van Bael
- Quantum Solid State Physics, Department of Physics and AstronomyKU LeuvenCelestijnenlaan 200DLeuven3001Belgium
| | - Bart Smeets
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
- MeBioS division, Biosystems DepartmentKU LeuvenKasteelpark, Arenberg 30Leuven3001Belgium
| | - Dimitrios Sakellariou
- Membrane Separations, Adsorption, Catalysis, and Spectroscopy for Sustainable Solutions (cMACS), Department of Microbial and Molecular SystemsKU LeuvenCelestijnenlaan 200F, PB 2454Leuven3001Belgium
| | - Ioannis Papantoniou
- Prometheus Translational Division of Skeletal Tissue EngineeringKU Leuven, O&N1, Herestraat 49, PB 813Leuven3000Belgium
- Skeletal Biology and Engineering Research Centre, Department of Development & RegenerationKU LeuvenO&N1, Herestraat 49, PB 813Leuven3000Belgium
| |
Collapse
|
2
|
Han S, Shin JW, Lee JH, Li B, Ko GJ, Jang TM, Dutta A, Han WB, Yang SM, Kim DJ, Kang H, Lim JH, Eom CH, Choi SJ, Cheng H, Hwang SW. Wireless, Multifunctional System-Integrated Programmable Soft Robot. NANO-MICRO LETTERS 2025; 17:152. [PMID: 39960608 PMCID: PMC11832865 DOI: 10.1007/s40820-024-01601-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 11/23/2024] [Indexed: 02/20/2025]
Abstract
Soft robots have partially or entirely provided versatile opportunities for issues or roles that cannot be addressed by conventional machine robots, although most studies are limited to designs, controls, or physical/mechanical motions. Here, we present a transformable, reconfigurable robotic platform created by the integration of magnetically responsive soft composite matrices with deformable multifunctional electronics. Magnetic compounds engineered to undergo phase transition at a low temperature can readily achieve reversible magnetization and conduct various changes of motions and shapes. Thin and flexible electronic system designed with mechanical dynamics does not interfere with movements of the soft electronic robot, and the performances of wireless circuit, sensors, and devices are independent of a variety of activities, all of which are verified by theoretical studies. Demonstration of navigations and electronic operations in an artificial track highlights the potential of the integrated soft robot for on-demand, environments-responsive movements/metamorphoses, and optoelectrical detection and stimulation. Further improvements to a miniaturized, sophisticated system with material options enable in situ monitoring and treatment in envisioned areas such as biomedical implants.
Collapse
Affiliation(s)
- Sungkeun Han
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Jeong-Woong Shin
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
- Semiconductor R&D Center, Samsung Electronics Co., Ltd., Hwaseong-Si, Gyeonggi-Do, 18448, Republic of Korea
| | - Joong Hoon Lee
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
- SK Hynix, Icheon, 17336, Republic of Korea
| | - Bowen Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Gwan-Jin Ko
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Tae-Min Jang
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Ankan Dutta
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Center for Neural Engineering, The Pennsylvania State University, State College, University Park, PA, 16802, USA
- Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Won Bae Han
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Seung Min Yang
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
- Hanwha Systems Co., Ltd., 188, Pangyoyeok-Ro, Bundang-GuGyeonggi-Do, Seongnam-Si, 13524, Republic of Korea
| | - Dong-Je Kim
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Heeseok Kang
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Jun Hyeon Lim
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Chan-Hwi Eom
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - So Jeong Choi
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
- Department of Materials Science and Engineering, The Pennsylvania State University, State College, University Park, PA, 16802, USA.
- Materials Research Institute, The Pennsylvania State University, State College, University Park, PA, 16802, USA.
| | - Suk-Won Hwang
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
- Center for Biomaterials, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
- Department of Integrative Energy Engineering, Korea University, Seoul, 02841, Republic of Korea.
| |
Collapse
|
3
|
Dogan NO, Suadiye E, Wrede P, Lazovic J, Dayan CB, Soon RH, Aghakhani A, Richter G, Sitti M. Immune Cell-Based Microrobots for Remote Magnetic Actuation, Antitumor Activity, and Medical Imaging. Adv Healthc Mater 2024; 13:e2400711. [PMID: 38885528 DOI: 10.1002/adhm.202400711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/17/2024] [Indexed: 06/20/2024]
Abstract
Translating medical microrobots into clinics requires tracking, localization, and performing assigned medical tasks at target locations, which can only happen when appropriate design, actuation mechanisms, and medical imaging systems are integrated into a single microrobot. Despite this, these parameters are not fully considered when designing macrophage-based microrobots. This study presents living macrophage-based microrobots that combine macrophages with magnetic Janus particles coated with FePt nanofilm for magnetic steering and medical imaging and bacterial lipopolysaccharides for stimulating macrophages in a tumor-killing state. The macrophage-based microrobots combine wireless magnetic actuation, tracking with medical imaging techniques, and antitumor abilities. These microrobots are imaged under magnetic resonance imaging and optoacoustic imaging in soft-tissue-mimicking phantoms and ex vivo conditions. Magnetic actuation and real-time imaging of microrobots are demonstrated under static and physiologically relevant flow conditions using optoacoustic imaging. Further, macrophage-based microrobots are magnetically steered toward urinary bladder tumor spheroids and imaged with a handheld optoacoustic device, where the microrobots significantly reduce the viability of tumor spheroids. The proposed approach demonstrates the proof-of-concept feasibility of integrating macrophage-based microrobots into clinic imaging modalities for cancer targeting and intervention, and can also be implemented for various other medical applications.
Collapse
Affiliation(s)
- Nihal Olcay Dogan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Eylül Suadiye
- Materials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Paul Wrede
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Jelena Lazovic
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Cem Balda Dayan
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Ren Hao Soon
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
| | - Amirreza Aghakhani
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute of Biomaterials and Biomolecular Systems, University of Stuttgart, 70569, Stuttgart, Germany
| | - Gunther Richter
- Materials Central Scientific Facility, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8092, Switzerland
- School of Medicine and College of Engineering, Koç University, Istanbul, 34450, Turkey
| |
Collapse
|
4
|
Jeong M, Tan X, Fischer F, Qiu T. A Convoy of Magnetic Millirobots Transports Endoscopic Instruments for Minimally-Invasive Surgery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2308382. [PMID: 38946679 DOI: 10.1002/advs.202308382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 06/13/2024] [Indexed: 07/02/2024]
Abstract
Small-scale robots offer significant potential in minimally invasive medical procedures. Due to the nature of soft biological tissues, however, robots are exposed to complex environments with various challenges in locomotion, which is essential to overcome for useful medical tasks. A single mini-robot often provides insufficient force on slippery biological surfaces to carry medical instruments, such as a fluid catheter or an electrical wire. Here, for the first time, a team of millirobots (TrainBot) is reported to generate around two times higher actuating force than a TrainBot unit by forming a convoy to collaboratively carry long and heavy cargos. The feet of each unit are optimized to increase the propulsive force around three times so that it can effectively crawl on slippery biological surfaces. A human-scale permanent magnetic set-up is developed to wirelessly actuate and control the TrainBot to transport heavy and lengthy loads through narrow biological lumens, such as the intestine and the bile duct. The first electrocauterization performed by the TrainBot is demonstrated to relieve a biliary obstruction and open a tunnel for fluid drainage and drug delivery. The developed technology sheds light on the collaborative strategy of small-scale robots for future minimally invasive surgical procedures.
Collapse
Affiliation(s)
- Moonkwang Jeong
- Cyber Valley group - Biomedical Microsystems, Institute of Physical Chemistry, University of Stuttgart, Pfaffenwaldring 55, 70569, Stuttgart, Germany
| | - Xiangzhou Tan
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Felix Fischer
- Division of Smart Technologies for Tumor Therapy, German Cancer Research Center (DKFZ) Site Dresden, Blasewitzer Str. 80, 01307, Dresden, Germany
- Faculty of Engineering Sciences, University of Heidelberg, 69120, Heidelberg, Germany
| | - Tian Qiu
- Division of Smart Technologies for Tumor Therapy, German Cancer Research Center (DKFZ) Site Dresden, Blasewitzer Str. 80, 01307, Dresden, Germany
- Faculty of Medicine Carl Gustav Carus, Dresden University of Technology, 01307, Dresden, Germany
- Faculty of Electrical and Computer Engineering, Dresden University of Technology, 01069, Dresden, Germany
| |
Collapse
|
5
|
Wang X, Liu W, Luo Q, Yao L, Wei F. Thermally Drawn-Based Microtubule Soft Continuum Robot for Cardiovascular Intervention. ACS APPLIED MATERIALS & INTERFACES 2024; 16:29783-29792. [PMID: 38811019 DOI: 10.1021/acsami.4c03885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
Cardiovascular disease is becoming the leading cause of human mortality. In order to address this, flexible continuum robots have emerged as a promising solution for miniaturizing and automating vascular interventional equipment for diagnosing and treating cardiovascular diseases. However, existing continuum robots used for vascular intervention face challenges such as large cross-sectional sizes, inadequate driving force, and lack of navigation control, preventing them from accessing cerebral blood vessels or capillaries for medical procedures. Additionally, the complex manufacturing process and high cost of soft continuum robots hinder their widespread clinical application. In this study, we propose a thermally drawn-based microtubule soft continuum robot that overcomes these limitations. The proposed robot has cross-sectional dimensions several orders of magnitude smaller than the smallest commercially available conduits, and it can be manufactured without any length restrictions. By utilizing a driving strategy based on liquid kinetic energy advancement and external magnetic field for steering, the robot can easily navigate within blood vessels and accurately reach the site of the lesion. This innovation holds the potential to achieve controlled navigation of the robot throughout the entire blood vessel, enabling in situ diagnosis and treatment of cardiovascular diseases.
Collapse
Affiliation(s)
- Xufeng Wang
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Wei Liu
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Qinzhou Luo
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Ligang Yao
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| | - Fanan Wei
- School of Mechanical Engineering and Automation, Fuzhou University, Minhou County, Fuzhou, Fujian 350108, China
| |
Collapse
|
6
|
Li H, Yi X, Zhang Z, Chen Y. Magnetic-Controlled Microrobot: Real-Time Detection and Tracking through Deep Learning Approaches. MICROMACHINES 2024; 15:756. [PMID: 38930726 PMCID: PMC11205840 DOI: 10.3390/mi15060756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/31/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024]
Abstract
As one of the most significant research topics in robotics, microrobots hold great promise in biomedicine for applications such as targeted diagnosis, targeted drug delivery, and minimally invasive treatment. This paper proposes an enhanced YOLOv5 (You Only Look Once version 5) microrobot detection and tracking system (MDTS), incorporating a visual tracking algorithm to elevate the precision of small-target detection and tracking. The improved YOLOv5 network structure is used to take magnetic bodies with sizes of 3 mm and 1 mm and a magnetic microrobot with a length of 2 mm as the pretraining targets, and the training weight model is used to obtain the position information and motion information of the microrobot in real time. The experimental results show that the accuracy of the improved network model for magnetic bodies with a size of 3 mm is 95.81%, representing an increase of 2.1%; for magnetic bodies with a size of 1 mm, the accuracy is 91.03%, representing an increase of 1.33%; and for microrobots with a length of 2 mm, the accuracy is 91.7%, representing an increase of 1.5%. The combination of the improved YOLOv5 network model and the vision algorithm can effectively realize the real-time detection and tracking of magnetically controlled microrobots. Finally, 2D and 3D detection and tracking experiments relating to microrobots are designed to verify the robustness and effectiveness of the system, which provides strong support for the operation and control of microrobots in an in vivo environment.
Collapse
Affiliation(s)
- Hao Li
- Department of Mechatronics and Information Engineering, Shandong University at Weihai, Weihai 264209, China;
| | - Xin Yi
- Department of Mechanical Engineering, Yanbian University, Yanji 133002, China; (X.Y.); (Z.Z.)
| | - Zhaopeng Zhang
- Department of Mechanical Engineering, Yanbian University, Yanji 133002, China; (X.Y.); (Z.Z.)
| | - Yuan Chen
- Department of Mechatronics and Information Engineering, Shandong University at Weihai, Weihai 264209, China;
| |
Collapse
|
7
|
Bozuyuk U, Wrede P, Yildiz E, Sitti M. Roadmap for Clinical Translation of Mobile Microrobotics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2311462. [PMID: 38380776 DOI: 10.1002/adma.202311462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/24/2024] [Indexed: 02/22/2024]
Abstract
Medical microrobotics is an emerging field to revolutionize clinical applications in diagnostics and therapeutics of various diseases. On the other hand, the mobile microrobotics field has important obstacles to pass before clinical translation. This article focuses on these challenges and provides a roadmap of medical microrobots to enable their clinical use. From the concept of a "magic bullet" to the physicochemical interactions of microrobots in complex biological environments in medical applications, there are several translational steps to consider. Clinical translation of mobile microrobots is only possible with a close collaboration between clinical experts and microrobotics researchers to address the technical challenges in microfabrication, safety, and imaging. The clinical application potential can be materialized by designing microrobots that can solve the current main challenges, such as actuation limitations, material stability, and imaging constraints. The strengths and weaknesses of the current progress in the microrobotics field are discussed and a roadmap for their clinical applications in the near future is outlined.
Collapse
Affiliation(s)
- Ugur Bozuyuk
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Paul Wrede
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zurich, Zurich, 8093, Switzerland
| | - Erdost Yildiz
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- School of Medicine and College of Engineering, Koc University, Istanbul, 34450, Turkey
| |
Collapse
|
8
|
Chen S, Padovani D, Cioncolini A, Alessandri A. A Cost-Effective Integrated Methodology for Electromagnetic Actuation via Visual Feedback. SENSORS (BASEL, SWITZERLAND) 2024; 24:2760. [PMID: 38732866 PMCID: PMC11086070 DOI: 10.3390/s24092760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/07/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024]
Abstract
Electromagnetic actuation can support many fields of technology, such as robotics or biomedical applications. In this context, fully understanding the system behavior and proposing a low-cost package for feedback control is challenging. Modeling the electromagnetic force is particularly tricky because it is a nonlinear function of the actuated object's position and coil's current. Measuring in real time the position of the actuated object with the precision required for accurate motion control is also nontrivial. In this study, we propose a novel, cost-effective electromagnetic set-up to achieve position control via visual feedback. We actuated vertically and under different experimental conditions a 10 mm diameter steel ball hanging on a low-stiffness spring, demonstrating good tracking performance (the position error remained within ±0.5 mm, with a negligible phase delay in the best scenarios). The experimental results confirm the feasibility of the proposed set-up, which is characterized by minimum complexity and realized with off-the-shelf and cost-effective components. For these reasons, such a contribution helps to understand and apply electromagnetic actuation even further.
Collapse
Affiliation(s)
- Shuwan Chen
- Department of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel;
| | - Damiano Padovani
- Department of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China;
| | - Andrea Cioncolini
- Department of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China;
| | - Angelo Alessandri
- Department of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, Shantou 515063, China;
- Department of Mechanical Engineering DIME, University of Genoa, 16145 Genoa, Italy
| |
Collapse
|
9
|
Liu J, Wan S, Li B, Li B, Liang J, Lu P, Zhang Z, Li W, Li X, Huangfu Y, Wu R, Song R, Yang X, Liu C, Hong R, Duan X, Li J, Duan X. Highly Robust Room-Temperature Interfacial Ferromagnetism in Ultrathin Co 2Si Nanoplates. NANO LETTERS 2024; 24:3768-3776. [PMID: 38477579 DOI: 10.1021/acs.nanolett.4c00321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
The reduced dimensionality and interfacial effects in magnetic nanostructures open the feasibility to tailor magnetic ordering. Here, we report the synthesis of ultrathin metallic Co2Si nanoplates with a total thickness that is tunable to 2.2 nm. The interfacial magnetism coupled with the highly anisotropic nanoplate geometry leads to strong perpendicular magnetic anisotropy and robust hard ferromagnetism at room temperature, with a Curie temperature (TC) exceeding 950 K and a coercive field (HC) > 4.0 T at 3 K and 8750 Oe at 300 K. Theoretical calculations suggest that ferromagnetism originates from symmetry breaking and undercoordinated Co atoms at the Co2Si and SiO2 interface. With protection by the self-limiting intrinsic oxide, the interfacial ferromagnetism of the Co2Si nanoplates exhibits excellent environmental stability. The controllable growth of ambient stable Co2Si nanoplates as 2D hard ferromagnets could open exciting opportunities for fundamental studies and applications in Si-based spintronic devices.
Collapse
Affiliation(s)
- Jialing Liu
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Si Wan
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Bo Li
- College of Semiconductors (College of Integrated Circuits), Hunan University, Changsha 410082, China
| | - Bailing Li
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Jingyi Liang
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Ping Lu
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Zucheng Zhang
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Wei Li
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Xin Li
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Ying Huangfu
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Ruixia Wu
- School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Rong Song
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Xiangdong Yang
- Institute of Micro/Nano Materials and Devices, Ningbo University of Technology, Zhejiang Institute of Tianjin University, Ningbo 315211, China
| | - Chang Liu
- School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Ruohao Hong
- School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Jia Li
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Xidong Duan
- Hunan Provincial Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| |
Collapse
|
10
|
Li N, Fei P, Tous C, Rezaei Adariani M, Hautot ML, Ouedraogo I, Hadjadj A, Dimov IP, Zhang Q, Lessard S, Nosrati Z, Ng CN, Saatchi K, Häfeli UO, Tremblay C, Kadoury S, Tang A, Martel S, Soulez G. Human-scale navigation of magnetic microrobots in hepatic arteries. Sci Robot 2024; 9:eadh8702. [PMID: 38354257 DOI: 10.1126/scirobotics.adh8702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 01/17/2024] [Indexed: 02/16/2024]
Abstract
Using external actuation sources to navigate untethered drug-eluting microrobots in the bloodstream offers great promise in improving the selectivity of drug delivery, especially in oncology, but the current field forces are difficult to maintain with enough strength inside the human body (>70-centimeter-diameter range) to achieve this operation. Here, we present an algorithm to predict the optimal patient position with respect to gravity during endovascular microrobot navigation. Magnetic resonance navigation, using magnetic field gradients in clinical magnetic resonance imaging (MRI), is combined with the algorithm to improve the targeting efficiency of magnetic microrobots (MMRs). Using a dedicated microparticle injector, a high-precision MRI-compatible balloon inflation system, and a clinical MRI, MMRs were successfully steered into targeted lobes via the hepatic arteries of living pigs. The distribution ratio of the microrobots (roughly 2000 MMRs per pig) in the right liver lobe increased from 47.7 to 86.4% and increased in the left lobe from 52.2 to 84.1%. After passing through multiple vascular bifurcations, the number of MMRs reaching four different target liver lobes had a 1.7- to 2.6-fold increase in the navigation groups compared with the control group. Performing simulations on 19 patients with hepatocellular carcinoma (HCC) demonstrated that the proposed technique can meet the need for hepatic embolization in patients with HCC. Our technology offers selectable direction for actuator-based navigation of microrobots at the human scale.
Collapse
Affiliation(s)
- Ning Li
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Phillip Fei
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Cyril Tous
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Mahdi Rezaei Adariani
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Inria, Palaiseau 91120, France
| | - Marie-Lou Hautot
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Inès Ouedraogo
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Nantes, Nantes 44035, France
| | - Amina Hadjadj
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Ivan P Dimov
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Quan Zhang
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
- School of Artificial Intelligence, Shanghai University, Shanghai 200444, China
| | - Simon Lessard
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
| | - Zeynab Nosrati
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Courtney N Ng
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Katayoun Saatchi
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Urs O Häfeli
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Charles Tremblay
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
| | - Samuel Kadoury
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
| | - An Tang
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec H2X 0C1, Canada
| | - Sylvain Martel
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Québec H3T 1J4, Canada
- Department of Bioengineering, McGill University, Montréal, Québec H3A 0E9, Canada
| | - Gilles Soulez
- Clinical Laboratory of Image Processing (LCTI), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec H2X 0A9, Canada
- Université de Montréal, Montréal, Québec H3T 1J4, Canada
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Québec H2X 0C1, Canada
| |
Collapse
|
11
|
Liu R, Xiang Y, Wei Z, Zhang J. A Computer‐Aided Teleoperation System for Intuitively Controlling the Behavior of a Magnetic Millirobot within a Stomach Phantom. ADVANCED INTELLIGENT SYSTEMS 2024; 6. [DOI: 10.1002/aisy.202300325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Indexed: 01/03/2025]
Abstract
Untethered magnetic millirobots with a characteristic length of a few millimeters can be wirelessly controlled. They exhibit promising potential in a wide variety of applications, particularly for tasks in clinic workspaces. However, magnetically controlling these robots is counter‐intuitive and requires a steep learning curve, hindering their wide adoption. Herein, a computer‐aided teleoperation platform is developed to operate a soft millirobot, with its feedback control being conducted behind‐the‐scenes, bridging the user's inputs directly with the millirobot's actions to offer an intuitive control. This system enables untrained users to conveniently control the position and actions of the millirobot inside a human stomach phantom by pointing‐and‐clicking on a real‐time video monitor or using a keyboard. The platform automatically materializes the user's instructions by maneuvering a robotic arm with a tip‐mounted magnet to exert a magnetic field to induce the desired response from the millirobot. Experiments show that the system allows the user to intuitively operate the millirobot and deliver its cargo without splitting their attention to monitor the workspace or to calculate the constantly changing control parameters. This platform can lower the barrier for healthcare practitioners without engineering expertise to adopt miniature robotic systems into their workflow and realize these systems’ promising potential.
Collapse
Affiliation(s)
- Ruomao Liu
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR 000000 China
| | - Yuxuan Xiang
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR 000000 China
| | - Zihan Wei
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR 000000 China
| | - Jiachen Zhang
- Department of Biomedical Engineering City University of Hong Kong Hong Kong SAR 000000 China
| |
Collapse
|
12
|
Wang Y, Sharma S, Maldonado F, Dong X. Wirelessly Actuated Ciliary Airway Stent for Excessive Mucus Transportation. ADVANCED MATERIALS TECHNOLOGIES 2023; 8:2301003. [PMID: 39949354 PMCID: PMC11823681 DOI: 10.1002/admt.202301003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Indexed: 02/16/2025]
Abstract
Small-scale cilia-like devices that can manipulate fluids in narrow spaces have great potential in microfluidics, biomechanics, biomedical engineering, and other applications. However, prior studies mostly focus on artificial cilia for pumping fluids in lab-on-a-chip microfluidic applications. The design and control of artificial cilia for transporting viscous mucus in confined and tubular structures remain challenging and medical devices such as airway stents with ciliary function are still missing. Herein, a method is reported that enables integrating artificial cilia arrays on 3D curved surfaces and an airway ciliary stent is presented for excessive mucus transportation. The method allows encoding bioinspired non-reciprocal motion and metachronal waves for efficient fluid pumping in tubular structures. The method also introduces a lubricant hydrogel coating layer on artificial cilia inspired by the periciliary layer in airway cilia, which further enhances viscous fluid transportation. It is demonstrated that a novel ciliary airway stent can transport viscous porcine mucus in a lung phantom even faster than the respiratory cilia in a healthy human lung. The methods of designing, integrating, and controlling artificial cilia on 3D curved surfaces thus enable the unprecedented function of removing excessive mucus beyond traditional airway stents for treating various lung diseases in a minimally invasive manner.
Collapse
Affiliation(s)
- Yusheng Wang
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37240, USA
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, TN 37240, USA
| | - Saksham Sharma
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37240, USA
| | - Fabien Maldonado
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, TN 37240, USA
- School of Medicine Vanderbilt University, Nashville, TN 37240, USA
| | - Xiaoguang Dong
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37240, USA
- Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, TN 37240, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37240,USA
| |
Collapse
|
13
|
Kou Y, Liu X, Ma X, Xiang Y, Zang J. Learning-based intelligent trajectory planning for auto navigation of magnetic robots. Front Robot AI 2023; 10:1281362. [PMID: 38149059 PMCID: PMC10750377 DOI: 10.3389/frobt.2023.1281362] [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: 08/22/2023] [Accepted: 11/20/2023] [Indexed: 12/28/2023] Open
Abstract
Introduction: Electromagnetically controlled small-scale robots show great potential in precise diagnosis, targeted delivery, and minimally invasive surgery. The automatic navigation of such robots could reduce human intervention, as well as the risk and difficulty of surgery. However, it is challenging to build a precise kinematics model for automatic robotic control because the controlling process is affected by various delays and complex environments. Method: Here, we propose a learning-based intelligent trajectory planning strategy for automatic navigation of magnetic robots without kinematics modeling. The Long Short-Term Memory (LSTM) neural network is employed to establish a global mapping relationship between the current sequence in the electromagnetic actuation system and the trajectory coordinates. Result: We manually control the robot to move on a curved path 50 times to form the training database to train the LSTM network. The trained LSTM network is validated to output the current sequence for automatically controlling the magnetic robot to move on the same curved path and the tortuous and branched new paths in simulated vascular tracks. Discussion: The proposed trajectory planning strategy is expected to impact the clinical applications of robots.
Collapse
Affiliation(s)
- Yuanshi Kou
- Laboratory for Soft intelligent Materials and Devices, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
| | - Xurui Liu
- Laboratory for Soft intelligent Materials and Devices, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaotian Ma
- Laboratory for Soft intelligent Materials and Devices, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanzhuo Xiang
- Wuhan National Laboratory for Optoelectronics, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
| | - Jianfeng Zang
- Laboratory for Soft intelligent Materials and Devices, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
- Wuhan National Laboratory for Optoelectronics, School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan, China
- State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
14
|
Wrede P, Aghakhani A, Bozuyuk U, Yildiz E, Sitti M. Acoustic Trapping and Manipulation of Hollow Microparticles under Fluid Flow Using a Single-Lens Focused Ultrasound Transducer. ACS APPLIED MATERIALS & INTERFACES 2023; 15. [PMID: 37917969 PMCID: PMC10658455 DOI: 10.1021/acsami.3c11656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/10/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
Microparticle manipulation and trapping play pivotal roles in biotechnology. To achieve effective manipulation within fluidic flow conditions and confined spaces, it is necessary to consider the physical properties of microparticles and the types of trapping forces applied. While acoustic waves have shown potential for manipulating microparticles, the existing setups involve complex actuation mechanisms and unstable microbubbles. Consequently, the need persists for an easily deployable acoustic actuation setup with stable microparticles. Here, we propose the use of hollow borosilicate microparticles possessing a rigid thin shell, which can be efficiently trapped and manipulated using a single-lens focused ultrasound (FUS) transducer under physiologically relevant flow conditions. These hollow microparticles offer stability and advantageous acoustic properties. They can be scaled up and mass-produced, making them suitable for systemic delivery. Our research demonstrates the successful trapping dynamics of FUS within circular tubings of varying diameters, validating the effectiveness of the method under realistic flow rates and ultrasound amplitudes. We also showcase the ability to remove hollow microparticles by steering the FUS transducer against the flow. Furthermore, we present potential biomedical applications, such as active cell tagging and navigation in bifurcated channels as well as ultrasound imaging in mouse cadaver liver tissue.
Collapse
Affiliation(s)
- Paul Wrede
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, 70569 Stuttgart, Germany
| | - Amirreza Aghakhani
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, 70569 Stuttgart, Germany
- Institute
of Biomaterials and Biomolecular Systems, University of Stuttgart, 70569 Stuttgart, Germany
| | - Ugur Bozuyuk
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, 70569 Stuttgart, Germany
| | - Erdost Yildiz
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, 70569 Stuttgart, Germany
| | - Metin Sitti
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, 70569 Stuttgart, Germany
- Institute
for Biomedical Engineering, ETH Zurich, 8092 Zurich, Switzerland
- School
of Medicine and School of Engineering, Koç
University, Istanbul, 34450, Turkey
| |
Collapse
|
15
|
Li M, Pal A, Byun J, Gardi G, Sitti M. Magnetic Putty as a Reconfigurable, Recyclable, and Accessible Soft Robotic Material. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304825. [PMID: 37713134 DOI: 10.1002/adma.202304825] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/31/2023] [Indexed: 09/16/2023]
Abstract
Magnetically hard materials are widely used to build soft magnetic robots, providing large magnetic force/torque and macrodomain programmability. However, their high magnetic coercivity often presents practical challenges when attempting to reconfigure magnetization patterns, requiring a large magnetic field or heating. In this study, magnetic putty is introduced as a magnetically hard and soft material with large remanence and low coercivity. It is shown that the magnetization of magnetic putty can be easily reoriented with maximum magnitude using an external field that is only one-tenth of its coercivity. Additionally, magnetic putty is a malleable, autonomous self-healing material that can be recycled and repurposed. The authors anticipate magnetic putty could provide a versatile and accessible tool for various magnetic robotics applications for fast prototyping and explorations for research and educational purposes.
Collapse
Affiliation(s)
- Meng Li
- Department of Physical Intelligence, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Aniket Pal
- Department of Physical Intelligence, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute of Applied Mechanics, University of Stuttgart, 70569, Stuttgart, Germany
| | - Junghwan Byun
- Department of Physical Intelligence, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Gaurav Gardi
- Department of Physical Intelligence, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
| | - Metin Sitti
- Department of Physical Intelligence, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany
- Institute for Biomedical Engineering, ETH Zürich, Zürich, 8092, Switzerland
- School of Medicine and College of Engineering, Koç University, Istanbul, 34450, Turkey
| |
Collapse
|
16
|
Masiero F, Sinibaldi E. Exact and Computationally Robust Solutions for Cylindrical Magnets Systems with Programmable Magnetization. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301033. [PMID: 37460392 PMCID: PMC10477869 DOI: 10.1002/advs.202301033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Indexed: 09/06/2023]
Abstract
Magnetic systems based on permanent magnets are receiving growing attention, in particular for micro/millirobotics and biomedical applications. Their design landscape is expanded by the possibility to program magnetization, yet enabling analytical results, crucial for containing computational costs, are lacking. The dipole approximation is systematically used (and often strained), because exact and computationally robust solutions are to be unveiled even for common geometries such as cylindrical magnets, which are ubiquitously used in fundamental research and applications. In this study, exact solutions are disclosed for magnetic field and gradient of a cylindrical magnet with generic uniform magnetization, which can be robustly computed everywhere within and outside the magnet, and directly extend to magnets systems of arbitrary complexity. Based on them, exact and computationally robust solutions are unveiled for force and torque between coaxial magnets. The obtained analytical solutions overstep the dipole approximation, thus filling a long-standing gap, and offer strong computational gains versus numerical simulations (up to 106 , for the considered test-cases). Moreover, they bridge to a variety of applications, as illustrated through a compact magnets array that could be used to advance state-of-the-art biomedical tools, by creating, based on programmable magnetization patterns, circumferential and helical force traps for magnetoresponsive diagnostic/therapeutic agents.
Collapse
Affiliation(s)
- Federico Masiero
- Biorobotics InstituteScuola Superiore Sant'Annaviale Rinaldo Piaggio 34Pontedera56025Italy
- Department of Excellence in Robotics and AIScuola Superiore Sant'Annapiazza Martiri della Libertà 33Pisa56127Italy
| | | |
Collapse
|
17
|
Wang Y, Chen J, Su G, Mei J, Li J. A Review of Single-Cell Microrobots: Classification, Driving Methods and Applications. MICROMACHINES 2023; 14:1710. [PMID: 37763873 PMCID: PMC10537272 DOI: 10.3390/mi14091710] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/19/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023]
Abstract
Single-cell microrobots are new microartificial devices that use a combination of single cells and artificial devices, with the advantages of small size, easy degradation and ease of manufacture. With externally driven strategies such as light fields, sound fields and magnetic fields, microrobots are able to carry out precise micromanipulations and movements in complex microenvironments. Therefore, single-cell microrobots have received more and more attention and have been greatly developed in recent years. In this paper, we review the main classifications, control methods and recent advances in the field of single-cell microrobot applications. First, different types of robots, such as cell-based microrobots, bacteria-based microrobots, algae-based microrobots, etc., and their design strategies and fabrication processes are discussed separately. Next, three types of external field-driven technologies, optical, acoustic and magnetic, are presented and operations realized in vivo and in vitro by applying these three technologies are described. Subsequently, the results achieved by these robots in the fields of precise delivery, minimally invasive therapy are analyzed. Finally, a short summary is given and current challenges and future work on microbial-based robotics are discussed.
Collapse
Affiliation(s)
| | | | | | | | - Junyang Li
- School of Electronic Engineering, Ocean University of China, Qingdao 266000, China; (Y.W.); (J.C.); (G.S.); (J.M.)
| |
Collapse
|
18
|
Self-vectoring electromagnetic soft robots with high operational dimensionality. Nat Commun 2023; 14:182. [PMID: 36635282 PMCID: PMC9837125 DOI: 10.1038/s41467-023-35848-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/04/2023] [Indexed: 01/14/2023] Open
Abstract
Soft robots capable of flexible deformations and agile locomotion similar to biological systems are highly desirable for promising applications, including safe human-robot interactions and biomedical engineering. Their achievable degree of freedom and motional deftness are limited by the actuation modes and controllable dimensions of constituent soft actuators. Here, we report self-vectoring electromagnetic soft robots (SESRs) to offer new operational dimensionality via actively and instantly adjusting and synthesizing the interior electromagnetic vectors (EVs) in every flux actuator sub-domain of the robots. As a result, we can achieve high-dimensional operation with fewer actuators and control signals than other actuation methods. We also demonstrate complex and rapid 3D shape morphing, bioinspired multimodal locomotion, as well as fast switches among different locomotion modes all in passive magnetic fields. The intrinsic fast (re)programmability of SESRs, along with the active and selective actuation through self-vectoring control, significantly increases the operational dimensionality and possibilities for soft robots.
Collapse
|
19
|
Tang Y, Li M, Wang T, Dong X, Hu W, Sitti M. Wireless Miniature Magnetic Phase-Change Soft Actuators. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2204185. [PMID: 35975467 PMCID: PMC7613683 DOI: 10.1002/adma.202204185] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/09/2022] [Indexed: 05/28/2023]
Abstract
Wireless miniature soft actuators are promising for various potential high-impact applications in medical, robotic grippers, and artificial muscles. However, these miniature soft actuators are currently constrained by a small output force and low work capacity. To address such challenges, a miniature magnetic phase-change soft composite actuator is reported. This soft actuator exhibits an expanding deformation and enables up to a 70 N output force and 175.2 J g-1 work capacity under remote magnetic radio frequency heating, which are 106 -107 times that of traditional magnetic soft actuators. To demonstrate its capabilities, a wireless soft robotic device is first designed that can withstand 0.24 m s-1 fluid flows in an artery phantom. By integrating it with a thermally-responsive shape-memory polymer and bistable metamaterial sleeve, a wireless reversible bistable stent is designed toward future potential angioplasty applications. Moreover, it can additionally locomote inside and jump out of granular media. At last, the phase-change actuator can realize programmable bending deformations when a specifically designed magnetization profile is encoded, enhancing its shape-programming capability. Such a miniature soft actuator provides an approach to enhance the mechanical output and versatility of magnetic soft robots and devices, extending their medical and other potential applications.
Collapse
Affiliation(s)
- Yichao Tang
- School of Mechanical Engineering Tongji University Shanghai 201804, China; Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany
| | - Mingtong Li
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany; Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices Soochow University Suzhou, Jiangsu 215123, China
| | - Tianlu Wang
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany; Institute for Biomedical Engineering ETH Zurich Zurich 8092, Switzerland
| | - Xiaoguang Dong
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany; of Mechanical Engineering Vanderbilt University Nashville, TN 37215, USA; Vanderbilt Institute for Surgery and Engineering Vanderbilt University Nashville, TN 37215, USA
| | - Wenqi Hu
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569, Stuttgart, Germany; Institute for Biomedical Engineering ETH Zurich Zurich 8092, Switzerland; School of Medicine and College of Engineering Koç University Istanbul 34450, Turkey
| |
Collapse
|
20
|
Fan X, Jiang Y, Li M, Zhang Y, Tian C, Mao L, Xie H, Sun L, Yang Z, Sitti M. Scale-reconfigurable miniature ferrofluidic robots for negotiating sharply variable spaces. SCIENCE ADVANCES 2022; 8:eabq1677. [PMID: 36112686 PMCID: PMC9481141 DOI: 10.1126/sciadv.abq1677] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
Magnetic miniature soft robots have shown great potential for facilitating biomedical applications by minimizing invasiveness and possible physical damage. However, researchers have mainly focused on fixed-size robots, with their active locomotion accessible only when the cross-sectional dimension of these confined spaces is comparable to that of the robot. Here, we realize the scale-reconfigurable miniature ferrofluidic robots (SMFRs) based on ferrofluid droplets and propose a series of control strategies for reconfiguring SMFR's scale and deformation to achieve trans-scale motion control by designing a multiscale magnetic miniature robot actuation (M3RA) system. The results showed that SMFRs, varying from centimeters to a few micrometers, leveraged diverse capabilities, such as locomotion in structured environments, deformation to squeeze through gaps, and even reversible scale reconfiguration for navigating sharply variable spaces. A miniature robot system with these capabilities combined is promising to be applied in future wireless medical robots inside confined regions of the human body.
Collapse
Affiliation(s)
- Xinjian Fan
- School of Mechanical and Electrical Engineering, Soochow University, No. 8, Jixue Road, Suzhou 215131, China
| | - Yihui Jiang
- School of Mechanical and Electrical Engineering, Soochow University, No. 8, Jixue Road, Suzhou 215131, China
| | - Mingtong Li
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart 70569, Germany
| | - Yunfei Zhang
- School of Mechanical and Electrical Engineering, Soochow University, No. 8, Jixue Road, Suzhou 215131, China
| | - Chenyao Tian
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Yikuang, Harbin 150080, China
| | - Liyang Mao
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Yikuang, Harbin 150080, China
| | - Hui Xie
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Yikuang, Harbin 150080, China
| | - Lining Sun
- School of Mechanical and Electrical Engineering, Soochow University, No. 8, Jixue Road, Suzhou 215131, China
| | - Zhan Yang
- School of Mechanical and Electrical Engineering, Soochow University, No. 8, Jixue Road, Suzhou 215131, China
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Heisenbergstr. 3, Stuttgart 70569, Germany
- Institute for Biomedical Engineering, ETH Zürich, 8092 Zürich, Switzerland
- School of Medicine and College of Engineering, Koç University, 34450 Istanbul, Turkey
| |
Collapse
|
21
|
Hong C, Ren Z, Wang C, Li M, Wu Y, Tang D, Hu W, Sitti M. Magnetically actuated gearbox for the wireless control of millimeter-scale robots. Sci Robot 2022; 7:eabo4401. [PMID: 36044558 DOI: 10.1126/scirobotics.abo4401] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The limited force or torque outputs of miniature magnetic actuators constrain the locomotion performances and functionalities of magnetic millimeter-scale robots. Here, we present a magnetically actuated gearbox with a maximum size of 3 millimeters for driving wireless millirobots. The gearbox is assembled using microgears that have reference diameters down to 270 micrometers and are made of aluminum-filled epoxy resins through casting. With a magnetic disk attached to the input shaft, the gearbox can be driven by a rotating external magnetic field, which is not more than 6.8 millitesla, to produce torque of up to 0.182 millinewton meters at 40 hertz. The corresponding torque and power densities are 12.15 micronewton meters per cubic millimeter and 8.93 microwatt per cubic millimeter, respectively. The transmission efficiency of the gearbox in the air is between 25.1 and 29.2% at actuation frequencies ranging from 1 to 40 hertz, and it lowers when the gearbox is actuated in viscous liquids. This miniature gearbox can be accessed wirelessly and integrated with various functional modules to repeatedly generate large actuation forces, strains, and speeds; store energy in elastic components; and lock up mechanical linkages. These characteristics enable us to achieve a peristaltic robot that can crawl on a flat substrate or inside a tube, a jumping robot with a tunable jumping height, a clamping robot that can sample solid objects by grasping, a needle-puncture robot that can take samples from the inside of the target, and a syringe robot that can collect or release liquids.
Collapse
Affiliation(s)
- Chong Hong
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.,State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150080, China
| | - Ziyu Ren
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.,Institute for Biomedical Engineering, ETH Zürich, 8092 Zürich, Switzerland
| | - Che Wang
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150080, China
| | - Mingtong Li
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
| | - Yingdan Wu
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
| | - Dewei Tang
- State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150080, China
| | - Wenqi Hu
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.,Institute for Biomedical Engineering, ETH Zürich, 8092 Zürich, Switzerland.,School of Medicine and College of Engineering, Koç University, 34450 Istanbul, Turkey
| |
Collapse
|
22
|
Tiryaki ME, Demir SO, Sitti M. Deep Learning-based 3D Magnetic Microrobot Tracking using 2D MR Images. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3179509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Mehmet Efe Tiryaki
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Sinan Ozgun Demir
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Metin Sitti
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| |
Collapse
|
23
|
Erin O, Liu X, Ge J, Opfermann J, Barnoy Y, Mair LO, Kang JU, Gensheimer W, Weinberg IN, Diaz-Mercado Y, Krieger A. Overcoming the Force Limitations of Magnetic Robotic Surgery: Magnetic Pulse Actuated Collisions for Tissue-Penetrating-Needle for Tetherless Interventions. ADVANCED INTELLIGENT SYSTEMS (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 4:2200072. [PMID: 35967598 PMCID: PMC9364690 DOI: 10.1002/aisy.202200072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Indexed: 06/03/2023]
Abstract
The field of magnetic robotics aims to obviate physical connections between the actuators and end-effectors. Such tetherless control may enable new ultra-minimally invasive surgical manipulations in clinical settings. While wireless actuation offers advantages in medical applications, the challenge of providing sufficient force to magnetic needles for tissue penetration remains a barrier to practical application. Applying sufficient force for tissue penetration is required for tasks such as biopsy, suturing, cutting, drug delivery, and accessing deep seated regions of complex structures in organs such as the eye. To expand the force landscape for such magnetic surgical tools, an impact-force based suture needle capable of penetrating in vitro and ex vivo samples with 3-DOF planar motion is proposed. Using custom-built 14G and 25G needles, we demonstrate generation of 410 mN penetration force, a 22.7-fold force increase with more than 20 times smaller volume compared to similar magnetically guided needles. With the MPACT-Needle, in vitro suturing of a gauze mesh onto an agar gel is demonstrated. In addition, we have reduced the tip size to 25G, which is a typical needle size for interventions in the eye, to demonstrate ex vivo penetration in a rabbit eye, mimicking procedures such as corneal injections and transscleral drug delivery.
Collapse
Affiliation(s)
- Onder Erin
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Xiaolong Liu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jiawei Ge
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Justin Opfermann
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yotam Barnoy
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Lamar O Mair
- Weinberg Medical Physics, Inc., North Bethesda, MD 20852, USA
| | - Jin U Kang
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - William Gensheimer
- Department of Opthalmology, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA
| | | | - Yancy Diaz-Mercado
- Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| |
Collapse
|