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Mi J, Liu C, Chen H, Qian Y, Zhu J, Zhang Y, Liang Y, Wang L, Ta D. Light on Alzheimer's disease: from basic insights to preclinical studies. Front Aging Neurosci 2024; 16:1363458. [PMID: 38566826 PMCID: PMC10986738 DOI: 10.3389/fnagi.2024.1363458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
Alzheimer's disease (AD), referring to a gradual deterioration in cognitive function, including memory loss and impaired thinking skills, has emerged as a substantial worldwide challenge with profound social and economic implications. As the prevalence of AD continues to rise and the population ages, there is an imperative demand for innovative imaging techniques to help improve our understanding of these complex conditions. Photoacoustic (PA) imaging forms a hybrid imaging modality by integrating the high-contrast of optical imaging and deep-penetration of ultrasound imaging. PA imaging enables the visualization and characterization of tissue structures and multifunctional information at high resolution and, has demonstrated promising preliminary results in the study and diagnosis of AD. This review endeavors to offer a thorough overview of the current applications and potential of PA imaging on AD diagnosis and treatment. Firstly, the structural, functional, molecular parameter changes associated with AD-related brain imaging captured by PA imaging will be summarized, shaping the diagnostic standpoint of this review. Then, the therapeutic methods aimed at AD is discussed further. Lastly, the potential solutions and clinical applications to expand the extent of PA imaging into deeper AD scenarios is proposed. While certain aspects might not be fully covered, this mini-review provides valuable insights into AD diagnosis and treatment through the utilization of innovative tissue photothermal effects. We hope that it will spark further exploration in this field, fostering improved and earlier theranostics for AD.
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Affiliation(s)
- Jie Mi
- Yiwu Research Institute, Fudan University, Yiwu, China
| | - Chao Liu
- Yiwu Research Institute, Fudan University, Yiwu, China
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China
| | - Honglei Chen
- Yiwu Research Institute, Fudan University, Yiwu, China
| | - Yan Qian
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China
| | - Jingyi Zhu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Yachao Zhang
- Medical Ultrasound Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
| | - Yizhi Liang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, China
| | - Lidai Wang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | - Dean Ta
- Yiwu Research Institute, Fudan University, Yiwu, China
- Department of Electronic Engineering, Fudan University, Shanghai, 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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Wang Q, Jin D. Active Micro/Nanoparticles in Colloidal Microswarms. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:1687. [PMID: 37242103 PMCID: PMC10220621 DOI: 10.3390/nano13101687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 05/18/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023]
Abstract
Colloidal microswarms have attracted increasing attention in the last decade due to their unique capabilities in various complex tasks. Thousands or even millions of tiny active agents are gathered with distinctive features and emerging behaviors, demonstrating fascinating equilibrium and non-equilibrium collective states. In recent studies, with the development of materials design, remote control strategies, and the understanding of pair interactions between building blocks, microswarms have shown advantages in manipulation and targeted delivery tasks with high adaptability and on-demand pattern transformation. This review focuses on the recent progress in active micro/nanoparticles (MNPs) in colloidal microswarms under the input of an external field, including the response of MNPs to external fields, MNP-MNP interactions, and MNP-environment interactions. A fundamental understanding of how building blocks behave in a collective system provides the foundation for designing microswarm systems with autonomy and intelligence, aiming for practical application in diverse environments. It is envisioned that colloidal microswarms will significantly impact active delivery and manipulation applications on small scales.
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Affiliation(s)
- Qianqian Wang
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211000, China
| | - Dongdong Jin
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, China
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Hou Y, Wang H, Fu R, Wang X, Yu J, Zhang S, Huang Q, Sun Y, Fukuda T. A review on microrobots driven by optical and magnetic fields. LAB ON A CHIP 2023; 23:848-868. [PMID: 36629004 DOI: 10.1039/d2lc00573e] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Due to their small sizes, microrobots are advantageous for accessing hard-to-reach spaces for delivery and measurement. However, their small sizes also bring challenges in on-board powering, thus usually requiring actuation by external energy. Microrobots actuated by external energy have been applied to the fields of physics, biology, medical science, and engineering. Among these actuation sources, light and magnetic fields show advantages in high precision and high biocompatibility. This paper reviews the recent advances in the design, actuation, and applications of microrobots driven by light and magnetic fields. For light-driven microrobots, we summarized the uses of optical tweezers, optoelectronic tweezers, and heat-mediated optical manipulation techniques. For magnetically driven microrobots, we summarized the uses of torque-driven microrobots, force-driven microrobots, and shape-deformable microrobots. Then, we compared the two types of field-driven microrobots and reviewed their advantages and disadvantages. The paper concludes with an outlook for the joint use of optical and magnetic field actuation in microrobots.
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Affiliation(s)
- Yaozhen Hou
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China
| | - Huaping Wang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
| | - Rongxin Fu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Xian Wang
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ONT, M5G 1X8, Canada
| | - Jiangfan Yu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China
| | - Shuailong Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
| | - Qiang Huang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology), Ministry of Education, Beijing 100081, China
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, M5S 3G9, Canada
| | - Toshio Fukuda
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China
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Medical micro- and nanomotors in the body. Acta Pharm Sin B 2023; 13:517-541. [PMID: 36873176 PMCID: PMC9979267 DOI: 10.1016/j.apsb.2022.10.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/24/2022] [Accepted: 09/14/2022] [Indexed: 11/20/2022] Open
Abstract
Attributed to the miniaturized body size and active mobility, micro- and nanomotors (MNMs) have demonstrated tremendous potential for medical applications. However, from bench to bedside, massive efforts are needed to address critical issues, such as cost-effective fabrication, on-demand integration of multiple functions, biocompatibility, biodegradability, controlled propulsion and in vivo navigation. Herein, we summarize the advances of biomedical MNMs reported in the past two decades, with particular emphasis on the design, fabrication, propulsion, navigation, and the abilities of biological barriers penetration, biosensing, diagnosis, minimally invasive surgery and targeted cargo delivery. Future perspectives and challenges are discussed as well. This review can lay the foundation for the future direction of medical MNMs, pushing one step forward on the road to achieving practical theranostics using MNMs.
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Wang B, Liu D, Liao Y, Huang Y, Ni M, Wang M, Ma Z, Wu Z, Lu Y. Spatiotemporally Actuated Hydrogel by Magnetic Swarm Nanorobotics. ACS NANO 2022; 16:20985-21001. [PMID: 36469837 DOI: 10.1021/acsnano.2c08626] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Magnetic nanorobotic swarms can mimic collective functions of organisms in nature and be programmed for flexible spatiotemporal control. In this work, different assemblies of magnetic nanoparticle (MNP) swarms were constructed. Temperature-sensitive hydrogels were used as carriers to fix the distribution and ensure the stability of the swarm structure and the biocompatibility of the microrobot. Under three different outfield assembly strategies (gravitational field, gradient magnetic field, and uniform magnetic field), six different assembly modes of MNP are encapsulated (three unilateral unfolding assemblies with different microsphere profiles, unilateral chain assembly, and two symmetric chain assemblies with different magnetic chain positions). Their differences in the execution of motion, magnetothermal effects, and release of loaded DOX drugs were explored. The results showed that the symmetrical chain assembly with the magnetic chain distributed on the outside showed the best performance due to the advantage of the magnetic moment. It has a speed of up to 600 μm/s and a temperature rise rate of up to 1.5 °C/min. The present work provides an excellent solution to the poor MNP cluster distribution stability problem and enriches the assembly control scheme of microrobots in medical, catalytic, and three-dimensional-printing fields.
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Affiliation(s)
- Bin Wang
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Dong Liu
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Yuting Liao
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
- College of Light Industry and Food Engineering, Guangxi University, Nanning530004, China
| | - Yanjie Huang
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
- Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, Tianjin300457, China
| | - Miao Ni
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Mengchen Wang
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Zhanpeng Ma
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Zijian Wu
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
| | - Yuan Lu
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing100084, China
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Wang J, Dong Y, Ma P, Wang Y, Zhang F, Cai B, Chen P, Liu BF. Intelligent Micro-/Nanorobots for Cancer Theragnostic. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2201051. [PMID: 35385160 DOI: 10.1002/adma.202201051] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/15/2022] [Indexed: 06/14/2023]
Abstract
Cancer is one of the most intractable diseases owing to its high mortality rate and lack of effective diagnostic and treatment tools. Advancements in micro-/nanorobot (MNR)-assisted sensing, imaging, and therapeutics offer unprecedented opportunities to develop MNR-based cancer theragnostic platforms. Unlike ordinary nanoparticles, which exhibit Brownian motion in biofluids, MNRs overcome viscous resistance in an ultralow Reynolds number (Re << 1) environment by effective self-propulsion. This unique locomotion property has motivated the advanced design and functionalization of MNRs as a basis for next-generation cancer-therapy platforms, which offer the potential for precise distribution and improved permeation of therapeutic agents. Enhanced barrier penetration, imaging-guided operation, and biosensing are additionally studied to enable the promising cancer-related applications of MNRs. Herein, the recent advances in MNR-based cancer therapy are comprehensively addresses, including actuation engines, diagnostics, medical imaging, and targeted drug delivery; promising research opportunities that can have a profound impact on cancer therapy over the next decade is highlighted.
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Affiliation(s)
- Jie Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Yue Dong
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Peng Ma
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Yu Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Fangyu Zhang
- Department of Nano Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Bocheng Cai
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics and Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China
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Wang X, Wang T, Chen X, Law J, Shan G, Tang W, Gong Z, Pan P, Liu X, Yu J, Ru C, Huang X, Sun Y. Microrobotic Swarms for Intracellular Measurement with Enhanced Signal-to-Noise Ratio. ACS NANO 2022; 16:10824-10839. [PMID: 35786860 DOI: 10.1021/acsnano.2c02938] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In cell biology, fluorescent dyes are routinely used for biochemical measurements. The traditional global dye treatment method suffers from low signal-to-noise ratios (SNR), especially when used for detecting a low concentration of ions, and increasing the concentration of fluorescent dyes causes more severe cytotoxicity. Here, we report a robotic technique that controls how a low amount of fluorescent-dye-coated magnetic nanoparticles accurately forms a swarm and increases the fluorescent dye concentration in a local region inside a cell for intracellular measurement. Different from existing magnetic micromanipulation systems that generate large swarms (several microns and above) or that cannot move the generated swarm to an arbitrary position, our system is capable of generating a small swarm (e.g., 1 μm) and accurately positioning the swarm inside a single cell (position control accuracy: 0.76 μm). In experiments, the generated swarm inside the cell showed an SNR 10 times higher than the traditional global dye treatment method. The high-SNR robotic swarm enabled intracellular measurements that had not been possible to achieve with traditional global dye treatment. The robotic swarm technique revealed an apparent pH gradient in a migrating cell and was used to measure the intracellular apparent pH in a single oocyte of living C. elegans. With the position control capability, the swarm was also applied to measure calcium changes at the perinuclear region of a cell before and after mechanical stimulation. The results showed a significant calcium increase after mechanical stimulation, and the calcium increase was regulated by the mechanically sensitive ion channel, PIEZO1.
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Affiliation(s)
- Xian Wang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
- Program in Developmental and Stem Cell Biology and Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto M5G 1X8, Canada
| | - Tiancong Wang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
| | - Xin Chen
- Program in Developmental and Stem Cell Biology and Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto M5G 1X8, Canada
| | - Junhui Law
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
| | - Guanqiao Shan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
| | - Wentian Tang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
| | - Zheyuan Gong
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
| | - Peng Pan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
- Department of Mechanical Engineering, McGill University, Montreal H3A 0C3, Canada
| | - Xinyu Liu
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Canada
| | - Jiangfan Yu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China
| | - Changhai Ru
- School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Xi Huang
- Program in Developmental and Stem Cell Biology and Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto M5G 1X8, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto M5S 3G8, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Canada
- Department of Electrical and Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada
- Department of Computer Science, University of Toronto, Toronto M5S 3G4, Canada
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Law J, Wang X, Luo M, Xin L, Du X, Dou W, Wang T, Shan G, Wang Y, Song P, Huang X, Yu J, Sun Y. Microrobotic swarms for selective embolization. SCIENCE ADVANCES 2022; 8:eabm5752. [PMID: 35857830 PMCID: PMC9299543 DOI: 10.1126/sciadv.abm5752] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Inspired by the collective intelligence in natural swarms, microrobotic agents have been controlled to form artificial swarms for targeted drug delivery, enhanced imaging, and hyperthermia. Different from these well-investigated tasks, this work aims to develop microrobotic swarms for embolization, which is a clinical technique used to block blood vessels for treating tumors, fistulas, and arteriovenous malformations. Magnetic particle swarms were formed for selective embolization to address the low selectivity of the present embolization technique that is prone to cause complications such as stroke and blindness. We established an analytical model that describes the relationships between fluid viscosity, flow rate, branching angle, magnetic field strength, and swarm integrity, based on which an actuation strategy was developed to maintain the swarm integrity inside a targeted region under fluidic flow conditions. Experiments in microfluidic channels, ex vivo tissues, and in vivo porcine kidneys validated the efficacy of the proposed strategy for selective embolization.
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Affiliation(s)
- Junhui Law
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
| | - Xian Wang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, Canada
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, Canada
| | - Mengxi Luo
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Liming Xin
- School of Computer Engineering and Science, Shanghai University, Shanghai, China
| | - Xingzhou Du
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
| | - Wenkun Dou
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Tiancong Wang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Guanqiao Shan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Yibin Wang
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
| | - Peng Song
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
- Corresponding author. (P.S.); (J.Y.); (Y.S.)
| | - Xi Huang
- Program in Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, Canada
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Jiangfan Yu
- Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
- Corresponding author. (P.S.); (J.Y.); (Y.S.)
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
- Department of Computer Science, University of Toronto, Toronto, Canada
- Robotics Institute, University of Toronto, Toronto, Canada
- Corresponding author. (P.S.); (J.Y.); (Y.S.)
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Functional photoacoustic microscopy of hemodynamics: a review. Biomed Eng Lett 2022; 12:97-124. [PMID: 35529339 PMCID: PMC9046529 DOI: 10.1007/s13534-022-00220-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/24/2022] [Accepted: 01/30/2022] [Indexed: 12/19/2022] Open
Abstract
Functional blood imaging can reflect tissue metabolism and organ viability, which is important for life science and biomedical studies. However, conventional imaging modalities either cannot provide sufficient contrast or cannot support simultaneous multi-functional imaging for hemodynamics. Photoacoustic imaging, as a hybrid imaging modality, can provide sufficient optical contrast and high spatial resolution, making it a powerful tool for in vivo vascular imaging. By using the optical-acoustic confocal alignment, photoacoustic imaging can even provide subcellular insight, referred as optical-resolution photoacoustic microscopy (OR-PAM). Based on a multi-wavelength laser source and developed the calculation methods, OR-PAM can provide multi-functional hemodynamic microscopic imaging of the total hemoglobin concentration (CHb), oxygen saturation (sO2), blood flow (BF), partial oxygen pressure (pO2), oxygen extraction fraction, and metabolic rate of oxygen (MRO2). This concise review aims to systematically introduce the principles and methods to acquire various functional parameters for hemodynamics by photoacoustic microscopy in recent studies, with characteristics and advantages comparison, typical biomedical applications introduction, and future outlook discussion.
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Jin D, Zhang L. Collective Behaviors of Magnetic Active Matter: Recent Progress toward Reconfigurable, Adaptive, and Multifunctional Swarming Micro/Nanorobots. Acc Chem Res 2022; 55:98-109. [PMID: 34931794 DOI: 10.1021/acs.accounts.1c00619] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Active matter refers to the nonequilibrium system composed of interacting units that continually dissipate energy at a single-unit level and transduce it into mechanical force or motion. Such systems are ubiquitous in nature and span most of the biological scales, ranging from cytoskeleton protein polymers at the molecular level to bacterial colonies at the cellular level to swarms of insects, flocks of birds, schools of fish, and even crowds of humans on the organismal scale. The consumption of energy within systems tends to induce the self-organization of active matter as well as the spontaneous emergence of dynamic, complex, and collective states with extraordinary properties, such as adaptability, reconfigurability, taxis, and so on. The research into active matter is expected to deepen the understanding of the underlying mechanisms of how the units in living systems interact with each other and regulate the flow of energy to improve the survival efficiency, which in turn can provide valuable insights into the engineering of artificial active systems with novel and practical collective functionalities.Because of the striking similarity in collective states, a colloidal system is an emerging approach to understanding the guiding principles of the coordinated activities in living systems. Thanks to the capabilities in batch fabrication, size control, and the modulation of interactions (e.g., dipole-dipole interactions, capillary forces, electrostatic interactions, and so on), various complex collective states have been reproduced and programmed in colloidal suspension through the elaborate design of compositions and unit-unit interactions. Among the developed colloidal systems, magnetic colloids energized by alternating magnetic fields demonstrate several unique advantages, including the high-degree-of-freedom and simple modulation of the magnetic field parameters as well as the excellent compatibility of the magnetic field with many application scenarios. Therefore, magnetic active matter not only constitutes a useful platform that leads to a discovery of fascinating emergent collective behaviors but also promises enormous potential in a variety of engineering fields.In this Account, we summarize and highlight the key efforts carried out by our group and others on the investigation of the collective behavior of magnetic active matter in the past 5 years. First, we elucidate the generation mechanisms of the emergent coordinated behaviors, which are classified according to the dominating interactions among agents, that is, the magnetic dipole-dipole interaction, hydrodynamic interaction, and weak interaction. Then we illustrate the construction of magnetic active matter with a higher level of collective effects and functionalities (e.g., reconfigurability, environmental adaptability, 3D swarming, cooperative multifunctionality, and so on) via the synergistic effects between magnetic fields and other fields. Next, potential applications of magnetic active matter are discussed, which mainly focus on the exploration in revolutionizing traditional biomedical fields. Finally, an outlook of future opportunities is presented to promote the development of magnetic active matter, which facilitates a better understanding of living counterparts and the further realization of practical applications.
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Chen H, Zhang H, Xu T, Yu J. An Overview of Micronanoswarms for Biomedical Applications. ACS NANO 2021; 15:15625-15644. [PMID: 34647455 DOI: 10.1021/acsnano.1c07363] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Micronanoswarms have attracted extensive attention worldwide due to their great promise in biomedical applications. The collective behaviors among thousands, or even millions, of tiny active agents indicate immense potential for benefiting the progress of clinical therapeutic and diagnostic methods. In recent years, with the development of smart materials, remote actuation modalities, and automatic control strategies, the motion dexterity, environmental adaptability, and functionality versatility of micronanoswarms are improved. Swarms can thus be designed as dexterous platforms inside living bodies to perform a multitude of tasks related to healthcare. Existing surveys summarize the design, functionalization, and biomedical applications of micronanorobots and the actuation and motion control strategies of micronanoswarms. This review presents the recent progress of micronanoswarms, aiming for biomedical applications. The recent advances on structural design of artificial, living, and hybrid micronanoswarms are summarized, and the biomedical applications that could be tackled using micronanoswarms are introduced, such as targeted drug delivery, hyperthermia, imaging and sensing, and thrombolysis. Moreover, potential challenges and promising trends of future developments are discussed. It is envisioned that the future success of these promising tools will have a significant impact on clinical treatment.
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Affiliation(s)
- Hui Chen
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China
| | - Huimin Zhang
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Tiantian Xu
- Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China
- Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518126, China
| | - Jiangfan Yu
- School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
- Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China
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Abstract
![]()
Manipulation and navigation of micro
and nanoswimmers in different
fluid environments can be achieved by chemicals, external fields,
or even motile cells. Many researchers have selected magnetic fields
as the active external actuation source based on the advantageous
features of this actuation strategy such as remote and spatiotemporal
control, fuel-free, high degree of reconfigurability, programmability,
recyclability, and versatility. This review introduces fundamental
concepts and advantages of magnetic micro/nanorobots (termed here
as “MagRobots”) as well as basic knowledge of magnetic
fields and magnetic materials, setups for magnetic manipulation, magnetic
field configurations, and symmetry-breaking strategies for effective
movement. These concepts are discussed to describe the interactions
between micro/nanorobots and magnetic fields. Actuation mechanisms
of flagella-inspired MagRobots (i.e., corkscrew-like motion and traveling-wave
locomotion/ciliary stroke motion) and surface walkers (i.e., surface-assisted
motion), applications of magnetic fields in other propulsion approaches,
and magnetic stimulation of micro/nanorobots beyond motion are provided
followed by fabrication techniques for (quasi-)spherical, helical,
flexible, wire-like, and biohybrid MagRobots. Applications of MagRobots
in targeted drug/gene delivery, cell manipulation, minimally invasive
surgery, biopsy, biofilm disruption/eradication, imaging-guided delivery/therapy/surgery,
pollution removal for environmental remediation, and (bio)sensing
are also reviewed. Finally, current challenges and future perspectives
for the development of magnetically powered miniaturized motors are
discussed.
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Affiliation(s)
- Huaijuan Zhou
- Center for Advanced Functional Nanorobots, Department of Inorganic Chemistry, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
| | - Carmen C Mayorga-Martinez
- Center for Advanced Functional Nanorobots, Department of Inorganic Chemistry, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
| | - Salvador Pané
- Multi-Scale Robotics Lab (MSRL), Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Tannenstrasse 3, 8092 Zurich, Switzerland
| | - Li Zhang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Martin Pumera
- Center for Advanced Functional Nanorobots, Department of Inorganic Chemistry, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic.,Department of Medical Research, China Medical University Hospital, China Medical University, No. 91 Hsueh-Shih Road, Taichung 40402, Taiwan.,Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic.,Department of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.,Future Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology, Purkyňova 656/123, Brno CZ-612 00, Czech Republic
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Wang Q, Zhang L. External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery. ACS NANO 2021; 15:149-174. [PMID: 33417764 DOI: 10.1021/acsnano.0c07753] [Citation(s) in RCA: 91] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Untethered micro/nanorobots have been widely investigated owing to their potential in performing various tasks in different environments. The significant progress in this emerging interdisciplinary field has benefited from the distinctive features of those tiny active agents, such as wireless actuation, navigation under feedback control, and targeted delivery of small-scale objects. In recent studies, collective behaviors of these tiny machines have received tremendous attention because swarming agents can enhance the delivery capability and adaptability in complex environments and the contrast of medical imaging, thus benefiting the imaging-guided navigation and delivery. In this review, we summarize the recent research efforts on investigating collective behaviors of external power-driven micro/nanorobots, including the fundamental understanding of swarm formation, navigation, and pattern transformation. The fundamental understanding of swarming tiny machines provides the foundation for targeted delivery. We also summarize the swarm localization using different imaging techniques, including the imaging-guided delivery in biological environments. By highlighting the critical steps from understanding the fundamental interactions during swarm control to swarm localization and imaging-guided delivery applications, we envision that the microrobotic swarm provides a promising tool for delivering agents in an active, controlled manner.
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Affiliation(s)
- Qianqian Wang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
| | - Li Zhang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
- Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
- T Stone Robotics Institute, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
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15
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Wang W, Zhou C. A Journey of Nanomotors for Targeted Cancer Therapy: Principles, Challenges, and a Critical Review of the State-of-the-Art. Adv Healthc Mater 2021; 10:e2001236. [PMID: 33111501 DOI: 10.1002/adhm.202001236] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/04/2020] [Indexed: 12/11/2022]
Abstract
A nanomotor is a miniaturized device that converts energy stored in the environment into mechanical motion. The last two decades have witnessed a surge of research interests in the biomedical applications of nanomotors, but little clinical translation. To accelerate this process, targeted cancer therapy is used as an example to describe a "survive, locate, operate, and terminate" (SLOT) mission of a nanomotor, where it must 1) survive in the unfriendly in vivo environment, 2) locate its target as well as be located by human operators, 3) carry out specific operations, and 4) terminate after the mission is completed. Along this journey, the challenges presented to a nanomotor, including to power, navigate, steer, target, release, control, image, and communicate are discussed, and how state-of-the-art nanomotors meet or fall short of these requirements is critically reviewed. These discussions are then condensed into a table for easy reference. In particular, it is argued that chemically powered nanomotors are intrinsically ill-positioned for targeted cancer therapy, while nanomotors powered by magnetic fields or ultrasound show more promises. Following this argument, a tentative nanomotor design is then presented in the end to conform to the SLOT guideline, and to inspire practical, functional nanorobots that are yet to come.
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Affiliation(s)
- Wei Wang
- School of Materials Science and Engineering Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China
| | - Chao Zhou
- School of Materials Science and Engineering Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China
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Wang B, Kostarelos K, Nelson BJ, Zhang L. Trends in Micro-/Nanorobotics: Materials Development, Actuation, Localization, and System Integration for Biomedical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2002047. [PMID: 33617105 DOI: 10.1002/adma.202002047] [Citation(s) in RCA: 189] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/24/2020] [Indexed: 05/23/2023]
Abstract
Micro-/nanorobots (m-bots) have attracted significant interest due to their suitability for applications in biomedical engineering and environmental remediation. Particularly, their applications in in vivo diagnosis and intervention have been the focus of extensive research in recent years with various clinical imaging techniques being applied for localization and tracking. The successful integration of well-designed m-bots with surface functionalization, remote actuation systems, and imaging techniques becomes the crucial step toward biomedical applications, especially for the in vivo uses. This review thus addresses four different aspects of biomedical m-bots: design/fabrication, functionalization, actuation, and localization. The biomedical applications of the m-bots in diagnosis, sensing, microsurgery, targeted drug/cell delivery, thrombus ablation, and wound healing are reviewed from these viewpoints. The developed biomedical m-bot systems are comprehensively compared and evaluated based on their characteristics. The current challenges and the directions of future research in this field are summarized.
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Affiliation(s)
- Ben Wang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Kostas Kostarelos
- Nanomedicine Lab, Faculty of Biology, Medicine & Health, The University of Manchester, AV Hill Building, Manchester, M13 9PT, UK
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), Campus UAB, Bellaterra, Barcelona, Spain
| | - Bradley J Nelson
- Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Tannenstrasse 3, Zurich, CH-8092, Switzerland
| | - Li Zhang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China
- CUHK T Stone Robotics Institute, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China
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Yu J, Yang L, Du X, Chen H, Xu T, Zhang L. Adaptive Pattern and Motion Control of Magnetic Microrobotic Swarms. IEEE T ROBOT 2021. [DOI: 10.1109/tro.2021.3130432] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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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: 108] [Impact Index Per Article: 27.0] [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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Ma Z, Liu X, Yin B, Zhao Y, Liu J, Yu Y, Wang Y. Common-path-based device for magnetomotive OCT noise reduction. APPLIED OPTICS 2020; 59:1431-1437. [PMID: 32225400 DOI: 10.1364/ao.377118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/25/2019] [Indexed: 06/10/2023]
Abstract
Magnetomotive optical coherence tomography (MMOCT) is a promising imaging method for noninvasive three-dimensional tracking of magnetic nanoparticle (MNP) motions in target tissues or organs. The external B-field is the driving force that provides MMOCT contrast. However, B-field modulation also introduces modulation noise, thereby decreasing the quality of the MMOCT image. In this paper, a common-path-based device is designed for modulation noise reduction. The device is capable of adjusting interference distance, reference light intensity, and imaging position (X-Y translation). The sensitivity of the MMOCT is increased by ∼20 times with the new device. Using the proposed device, the distribution of MNPs injected in zebrafish was imaged.
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Yu J, Jin D, Chan KF, Wang Q, Yuan K, Zhang L. Active generation and magnetic actuation of microrobotic swarms in bio-fluids. Nat Commun 2019; 10:5631. [PMID: 31822669 PMCID: PMC6904566 DOI: 10.1038/s41467-019-13576-6] [Citation(s) in RCA: 146] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 11/11/2019] [Indexed: 12/02/2022] Open
Abstract
In nature, various types of animals will form self-organised large-scale structures. Through designing wireless actuation methods, microrobots can emulate natural swarm behaviours, which have drawn extensive attention due to their great potential in biomedical applications. However, as the prerequisite for their in-vivo applications, whether microrobotic swarms can take effect in bio-fluids with complex components has yet to be fully investigated. In this work, we first categorise magnetic active swarms into three types, and individually investigate the generation and navigation behaviours of two types of the swarms in bio-fluids. The influences of viscosities, ionic strengths and mesh-like structures are studied. A strategy is then proposed to select the optimised swarms in different fluidic environments based on their physical properties, and the results are further validated in various bio-fluids. Moreover, we also realise the swarm generation and navigation in bovine eyeballs, which also validates the proposed prediction in the ex-vivo environment.
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Affiliation(s)
- Jiangfan Yu
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Dongdong Jin
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Kai-Fung Chan
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Qianqian Wang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Ke Yuan
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
| | - Li Zhang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
- Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
- T-Stone Robotics Institute, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong.
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
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