1
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Nair V, Dalrymple AN, Yu Z, Balakrishnan G, Bettinger CJ, Weber DJ, Yang K, Robinson JT. Miniature battery-free bioelectronics. Science 2023; 382:eabn4732. [PMID: 37943926 DOI: 10.1126/science.abn4732] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/28/2023] [Indexed: 11/12/2023]
Abstract
Miniature wireless bioelectronic implants that can operate for extended periods of time can transform how we treat disorders by acting rapidly on precise nerves and organs in a way that drugs cannot. To reach this goal, materials and methods are needed to wirelessly transfer energy through the body or harvest energy from the body itself. We review some of the capabilities of emerging energy transfer methods to identify the performance envelope for existing technology and discover where opportunities lie to improve how much-and how efficiently-we can deliver energy to the tiny bioelectronic implants that can support emerging medical technologies.
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Affiliation(s)
- Vishnu Nair
- Rice Neuroengineering Initiative, Rice University, Houston, TX, USA
| | - Ashley N Dalrymple
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
- Department of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA
| | - Zhanghao Yu
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Gaurav Balakrishnan
- Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Christopher J Bettinger
- Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Douglas J Weber
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
- Center for Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Kaiyuan Yang
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Jacob T Robinson
- Rice Neuroengineering Initiative, Rice University, Houston, TX, USA
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
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2
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Ghanim R, Kaushik A, Park J, Abramson A. Communication Protocols Integrating Wearables, Ingestibles, and Implantables for Closed-Loop Therapies. DEVICE 2023; 1:100092. [PMID: 38465200 PMCID: PMC10923538 DOI: 10.1016/j.device.2023.100092] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Body-conformal sensors and tissue interfacing robotic therapeutics enable the real-time monitoring and treatment of diabetes, wound healing, and other critical conditions. By integrating sensors and drug delivery devices, scientists and engineers have developed closed-loop drug delivery systems with on-demand therapeutic capabilities to provide just-in-time treatments that correspond to chemical, electrical, and physical signals of a target morbidity. To enable closed-loop functionality in vivo, engineers utilize various low-power means of communication that reduce the size of implants by orders of magnitude, increase device lifetime from hours to months, and ensure the secure high-speed transfer of data. In this review, we highlight how communication protocols used to integrate sensors and drug delivery devices, such as radio frequency communication (e.g., Bluetooth, near-field communication), in-body communication, and ultrasound, enable improved treatment outcomes.
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Affiliation(s)
- Ramy Ghanim
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Anika Kaushik
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Jihoon Park
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Alex Abramson
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
- Division of Digestive Diseases, Emory University School of Medicine, Atlanta, GA 30322, USA
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3
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Ray A, Habibagahi I, Babakhani A. A Fully Wireless and Batteryless Localization System With 50 Micrometre Motion Detection Capability and Adaptive Transmitter Power Control for Point-of-Care Biomedical Applications. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2023; 17:674-687. [PMID: 37363841 DOI: 10.1109/tbcas.2023.3289149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Localization has varied applications in biomedicine, such as wireless capsule endoscopy (WCE), detection of cancerous tissue, drug delivery, robotic surgeries, and brain mapping. Currently, most localization systems are battery-powered and suffer from issues regarding battery leakage and limited battery life, resulting in potential health hazards and inconveniences when using them for continuous health monitoring applications. This article proposes an entirely wireless and battery-less 2D localization system consisting of an integrated circuit (IC) that is wirelessly powered at a distance of 4 cm by a 40.68 MHz radio frequency (RF) power of only 2 W. The proposed localization system wirelessly transmits a locked sub-harmonic 13.56 MHz signal generated from the wirelessly received 40.68 MHz RF power signal, eliminating the need for a power-hungry oscillator. Additionally, the system, having a measurement latency of 11.3 ms, has also been verified to sense motion as small as 50 [Formula: see text] as well as measure the rate of motion up to 10 beats per minute, therefore extending its application to the detection of physiological motions such as diaphragm motion during breathing. The localizer has a small form factor of 17 mm × 12 mm × 0.2 mm and consumes an average power of 6 μW. Ex vivo measurements using the localizer inside the porcine intestine demonstrate a localization accuracy of less than 5 mm.
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4
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Bhatt S, Masterson E, Zhu T, Eizadi J, George J, Graupe N, Vareberg A, Phillips J, Bok I, Dwyer M, Ashtiani A, Hai A. Wireless in vivo Recording of Cortical Activity by an Ion-Sensitive Field Effect Transistor. SENSORS AND ACTUATORS. B, CHEMICAL 2023; 382:133549. [PMID: 36970106 PMCID: PMC10035629 DOI: 10.1016/j.snb.2023.133549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness and refine possibilities during electrophysiological recording and stimulation. Despite their advantages, most systems require on-board power supply and sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing new minimalistic architectures that can efficiently sense neurophysiological events will open the door to standalone microscale sensors and minimally invasive delivery of multiple sensors. Here we present a circuit for sensing ionic fluctuations in the brain by an ion-sensitive field effect transistor that detunes a single radiofrequency resonator in parallel. We establish sensitivity of the sensor by electromagnetic analysis and quantify response to ionic fluctuations in vitro. We validate this new architecture in vivo during hindpaw stimulation in rodents and verify correlation with local field potential recordings. This new approach can be implemented as an integrated circuit for wireless in situ recording of brain electrophysiology.
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Affiliation(s)
- Suyash Bhatt
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Emily Masterson
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Tianxiang Zhu
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Jenna Eizadi
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Judy George
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Nesya Graupe
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Adam Vareberg
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Jack Phillips
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Ilhan Bok
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Matthew Dwyer
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Alireza Ashtiani
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Aviad Hai
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
- Wisconsin Institute for Translational Neuroengineering (WITNe), Madison, WI, USA
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5
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Lu T, Ji S, Jin W, Yang Q, Luo Q, Ren TL. Biocompatible and Long-Term Monitoring Strategies of Wearable, Ingestible and Implantable Biosensors: Reform the Next Generation Healthcare. SENSORS (BASEL, SWITZERLAND) 2023; 23:2991. [PMID: 36991702 PMCID: PMC10054135 DOI: 10.3390/s23062991] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/31/2022] [Accepted: 01/04/2023] [Indexed: 06/19/2023]
Abstract
Sensors enable the detection of physiological indicators and pathological markers to assist in the diagnosis, treatment, and long-term monitoring of diseases, in addition to playing an essential role in the observation and evaluation of physiological activities. The development of modern medical activities cannot be separated from the precise detection, reliable acquisition, and intelligent analysis of human body information. Therefore, sensors have become the core of new-generation health technologies along with the Internet of Things (IoTs) and artificial intelligence (AI). Previous research on the sensing of human information has conferred many superior properties on sensors, of which biocompatibility is one of the most important. Recently, biocompatible biosensors have developed rapidly to provide the possibility for the long-term and in-situ monitoring of physiological information. In this review, we summarize the ideal features and engineering realization strategies of three different types of biocompatible biosensors, including wearable, ingestible, and implantable sensors from the level of sensor designing and application. Additionally, the detection targets of the biosensors are further divided into vital life parameters (e.g., body temperature, heart rate, blood pressure, and respiratory rate), biochemical indicators, as well as physical and physiological parameters based on the clinical needs. In this review, starting from the emerging concept of next-generation diagnostics and healthcare technologies, we discuss how biocompatible sensors revolutionize the state-of-art healthcare system unprecedentedly, as well as the challenges and opportunities faced in the future development of biocompatible health sensors.
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Affiliation(s)
- Tian Lu
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Shourui Ji
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Weiqiu Jin
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Qisheng Yang
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
| | - Qingquan Luo
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tian-Ling Ren
- School of Integrated Circuit and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
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6
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Sharma S, Ramadi KB, Poole NH, Srinivasan SS, Ishida K, Kuosmanen J, Jenkins J, Aghlmand F, Swift MB, Shapiro MG, Traverso G, Emami A. Location-aware ingestible microdevices for wireless monitoring of gastrointestinal dynamics. NATURE ELECTRONICS 2023; 6:242-256. [PMID: 37745833 PMCID: PMC10516531 DOI: 10.1038/s41928-023-00916-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/04/2023] [Indexed: 09/26/2023]
Abstract
Localization and tracking of ingestible microdevices in the gastrointestinal (GI) tract is valuable for the diagnosis and treatment of GI disorders. Such systems require a large field-of-view of tracking, high spatiotemporal resolution, wirelessly operated microdevices and a non-obstructive field generator that is safe to use in practical settings. However, the capabilities of current systems remain limited. Here, we report three dimensional (3D) localization and tracking of wireless ingestible microdevices in the GI tract of large animals in real time and with millimetre-scale resolution. This is achieved by generating 3D magnetic field gradients in the GI field-of-view using high-efficiency planar electromagnetic coils that encode each spatial point with a distinct magnetic field magnitude. The field magnitude is measured and transmitted by the miniaturized, low-power and wireless microdevices to decode their location as they travel through the GI tract. This system could be useful for quantitative assessment of the GI transit-time, precision targeting of therapeutic interventions and minimally invasive procedures.
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Affiliation(s)
- Saransh Sharma
- Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
- These authors contributed equally: Saransh Sharma, Khalil B. Ramadi
| | - Khalil B. Ramadi
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Engineering, New York University Abu Dhabi, Abu Dhabi, UAE
- Tandon School of Engineering, New York University, New York, NY, USA
- These authors contributed equally: Saransh Sharma, Khalil B. Ramadi
| | - Nikhil H. Poole
- Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Shriya S. Srinivasan
- Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Keiko Ishida
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Johannes Kuosmanen
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Josh Jenkins
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Fatemeh Aghlmand
- Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Margaret B. Swift
- Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Mikhail G. Shapiro
- Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA
- These authors jointly supervised this work: Mikhail G. Shapiro, Giovanni Traverso, Azita Emami
| | - Giovanni Traverso
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- These authors jointly supervised this work: Mikhail G. Shapiro, Giovanni Traverso, Azita Emami
| | - Azita Emami
- Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA
- These authors jointly supervised this work: Mikhail G. Shapiro, Giovanni Traverso, Azita Emami
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7
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Bhatt S, Masterson E, Zhu T, Eizadi J, George J, Graupe N, Vareberg A, Phillips J, Bok I, Dwyer M, Ashtiani A, Hai A. Wireless in vivo Recording of Cortical Activity by an Ion-Sensitive Field Effect Transistor. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.19.524785. [PMID: 36711824 PMCID: PMC9882301 DOI: 10.1101/2023.01.19.524785] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness and refine possibilities during electrophysiological recording and stimulation. Despite their advantages, most systems require on-board power supply and sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing new minimalistic architectures that can efficiently sense neurophysiological events will open the door to standalone microscale sensors and minimally invasive delivery of multiple sensors. Here we present a circuit for sensing ionic fluctuations in the brain by an ion-sensitive field effect transistor that detunes a single radiofrequency resonator in parallel. We establish sensitivity of the sensor by electromagnetic analysis and quantify response to ionic fluctuations in vitro . We validate this new architecture in vivo during hindpaw stimulation in rodents and verify correlation with local field potential recordings. This new approach can be implemented as an integrated circuit for wireless in situ recording of brain electrophysiology.
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Affiliation(s)
- Suyash Bhatt
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Emily Masterson
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Tianxiang Zhu
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Jenna Eizadi
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Judy George
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Nesya Graupe
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Adam Vareberg
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Jack Phillips
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Ilhan Bok
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Matthew Dwyer
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
| | - Alireza Ashtiani
- Department of Biomedical Engineering, University of Wisconsin–Madison
| | - Aviad Hai
- Department of Biomedical Engineering, University of Wisconsin–Madison
- Department of Electrical & Computer Engineering, University of Wisconsin–Madison
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8
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Nan K, Feig VR, Ying B, Howarth JG, Kang Z, Yang Y, Traverso G. Mucosa-interfacing electronics. NATURE REVIEWS. MATERIALS 2022; 7:908-925. [PMID: 36124042 PMCID: PMC9472746 DOI: 10.1038/s41578-022-00477-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
The surface mucosa that lines many of our organs houses myriad biometric signals and, therefore, has great potential as a sensor-tissue interface for high-fidelity and long-term biosensing. However, progress is still nascent for mucosa-interfacing electronics owing to challenges with establishing robust sensor-tissue interfaces; device localization, retention and removal; and power and data transfer. This is in sharp contrast to the rapidly advancing field of skin-interfacing electronics, which are replacing traditional hospital visits with minimally invasive, real-time, continuous and untethered biosensing. This Review aims to bridge the gap between skin-interfacing electronics and mucosa-interfacing electronics systems through a comparison of the properties and functions of the skin and internal mucosal surfaces. The major physiological signals accessible through mucosa-lined organs are surveyed and design considerations for the next generation of mucosa-interfacing electronics are outlined based on state-of-the-art developments in bio-integrated electronics. With this Review, we aim to inspire hardware solutions that can serve as a foundation for developing personalized biosensing from the mucosa, a relatively uncharted field with great scientific and clinical potential.
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Affiliation(s)
- Kewang Nan
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Vivian R. Feig
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Binbin Ying
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Julia G. Howarth
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Ziliang Kang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Yiyuan Yang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Giovanni Traverso
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA
- Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
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9
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Liu D, Wang T, Lu Y. Untethered Microrobots for Active Drug Delivery: From Rational Design to Clinical Settings. Adv Healthc Mater 2022; 11:e2102253. [PMID: 34767306 DOI: 10.1002/adhm.202102253] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Indexed: 12/17/2022]
Abstract
Recent advances of untethered microrobots, which navigate the complex regions in vivo for therapeutics, have presented promising multiple applications on future healthcare. Microrobots used for active drug delivery system (DDS) have been demonstrated for advanced targeting distribution, improved delivery efficiency, and reduced systemic side effects. In this review, the therapeutic benefits of active DDS are presented compared to the traditional passive DDS, which illustrate the historical reasons for choosing active DDS. An integrated 5D radar chart analysis model containing the core capabilities of the active DDS is innovatively proposed. It would be a practical tool for measurement and mapping of the field of active delivery, followed by the evolutions and bottlenecks of each technical module. The comprehensive consideration of microrobots before clinical application is also discussed from the aspects of robot ethics, dosage, quality control and stability control in actual production. Gastrointestinal and blood administration, as two major clinical scenes of drug delivery, are discussed in detail as examples of the potential bedside applications of active DDS. Finally, combined with the reported analysis model, the current status and future outlook from the translation prospect to the clinical scenes of microrobots are provided.
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Affiliation(s)
- Dong Liu
- Key Laboratory of Industrial Biocatalysis Ministry of Education Department of Chemical Engineering Tsinghua University Beijing 100084 China
| | - Ting Wang
- Key Laboratory of Industrial Biocatalysis Ministry of Education Department of Chemical Engineering Tsinghua University Beijing 100084 China
| | - Yuan Lu
- Key Laboratory of Industrial Biocatalysis Ministry of Education Department of Chemical Engineering Tsinghua University Beijing 100084 China
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10
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Gao H, Lin Y, Monge M. Towards Magnetic Field Gradient-Based Imaging and Control of In-Body Devices. IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE : HEALTHCARE TECHNOLOGY : [PROCEEDINGS]. IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE 2021; 2021:10.1109/biocas49922.2021.9645032. [PMID: 35356802 PMCID: PMC8963196 DOI: 10.1109/biocas49922.2021.9645032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
This papers reports a magnetic field gradient-based imaging system for in-body devices which takes inspiration from the localization principles of magnetic resonance imaging. By applying three orthogonal magnetic field gradients, the location of a device inside the body can be determined by measuring the magnetic fields in the device and transmitting this information to an external reader. The proposed system consists of one pair of Helmholtz coils and two pairs of saddle coils and is capable of generating the three orthogonal gradient fields. To emulate an implantable device, a miniature sensor module was designed using off-the-shelf components and semi-passive UHF RFID. The proposed localization system produces magnetic field gradients up to 187.4 G/m while consuming 1 A and achieves an average localization error of 80 μm.
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Affiliation(s)
- Hongxiang Gao
- University of Southern California, Los Angeles, CA 90089, USA
| | - Yubin Lin
- University of Southern California, Los Angeles, CA 90089, USA
| | - Manuel Monge
- University of Southern California, Los Angeles, CA 90089, USA
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11
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Sharma S, Telikicherla A, Ding G, Aghlmand F, Talkhooncheh AH, Shapiro MG, Emami A. Wireless 3D Surgical Navigation and Tracking System With 100μm Accuracy Using Magnetic-Field Gradient-Based Localization. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:2066-2079. [PMID: 33819153 DOI: 10.1109/tmi.2021.3071120] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This paper describes a high-resolution 3D navigation and tracking system using magnetic field gradients, that can replace X-Ray fluoroscopy in high-precision surgeries. Monotonically varying magnetic fields in X, Y and Z directions are created in the field-of-view (FOV) to produce magnetic field gradients, which encode each spatial point uniquely. Highly miniaturized, wireless and battery-less devices, capable of measuring their local magnetic field, are designed to sense the gradient field. One such device can be attached to an implant inside the body and another to a surgical tool, such that both can simultaneously measure and communicate the magnetic field at their respective locations to an external receiver. The relative location of the two devices on a real-time display can enable precise surgical navigation without using X-Rays. A prototype device is designed consisting of a micro-chip fabricated in 65nm CMOS technology, a 3D magnetic sensor and an inductor-coil. Planar electromagnetic coils are designed for creating the 3D magnetic field gradients in a 20×20×10 cm3 of scalable FOV. Unambiguous and orientation-independent spatial encoding is achieved by: (i) using the gradient in the total field magnitude instead of only the Z-component; and (ii) using a combination of the gradient fields to correct for the non-linearity and non-monotonicity in X and Y gradients. The resultant X and Y FOV yield ≥90% utilization of their respective coil-span. The system is tested in vitro to demonstrate a localization accuracy of m in 3D, the highest reported to the best of our knowledge.
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12
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Affiliation(s)
- Jihong Min
- Andrew and Peggy Cherng Department of Medical EngineeringDivision of Engineering and Applied ScienceCalifornia Institute of Technology Pasadena CA 91125 USA
| | - Yiran Yang
- Andrew and Peggy Cherng Department of Medical EngineeringDivision of Engineering and Applied ScienceCalifornia Institute of Technology Pasadena CA 91125 USA
| | - Zhiguang Wu
- Andrew and Peggy Cherng Department of Medical EngineeringDivision of Engineering and Applied ScienceCalifornia Institute of Technology Pasadena CA 91125 USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical EngineeringDivision of Engineering and Applied ScienceCalifornia Institute of Technology Pasadena CA 91125 USA
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13
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Hong L, Li H, Yang H, Sengupta K. Nano-plasmonics and electronics co-integration in CMOS enabling a pill-sized multiplexed fluorescence microarray system. BIOMEDICAL OPTICS EXPRESS 2018; 9:5735-5758. [PMID: 30460159 PMCID: PMC6238921 DOI: 10.1364/boe.9.005735] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 09/11/2018] [Accepted: 09/12/2018] [Indexed: 06/09/2023]
Abstract
The ultra-miniaturization of massively multiplexed fluorescence-based bio-molecular sensing systems for proteins and nucleic acids into a chip-scale form, small enough to fit inside a pill (∼ 0.1cm3), can revolutionize sensing modalities in-vitro and in-vivo. Prior miniaturization techniques have been limited to focusing on traditional optical components (multiple filter sets, lenses, photo-detectors, etc.) arranged in new packaging systems. Here, we report a method that eliminates all external optics and miniaturizes an entire multiplexed fluorescence system into a 2 × 1 mm2 chip through co-integration for the first time of massively scalable nano-plasmonic multi-functional optical elements and electronic processing circuitry realized in an industry standard complementary-metal-oxide semiconductor (CMOS) foundry process with absolutely 'no change' in fabrication or processing. The implemented nano-waveguide based filters operating in the visible and near-IR realized with the embedded sub-wavelength multi-layer copper-based electronic interconnects inside the chip show for the first time a sub-wavelength surface plasmon polariton mode inside CMOS. This is the principle behind the angle-insensitive nature of the filtering that operates in the presence of uncollimated and scattering environments, enabling the first optics-free 96-sensor CMOS fluorescence sensing system. The chip demonstrates the surface sensitivity of zeptomoles of quantum dot-based labels, and volume sensitivities of ∼ 100 fM for nucleic acids and ∼ 5 pM for proteins that are comparable to, if not better, than commercial fluorescence readers. The ability to integrate multi-functional nano-optical structures in a commercial CMOS process, along with all the complex electronics, can have a transformative impact and enable a new class of miniaturized and scalable chip-sized optical sensors.
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Affiliation(s)
- Lingyu Hong
- Department of Electrical Engineering. Princeton University, NJ 08544, USA
| | - Hao Li
- Department of Chemistry, Princeton University, NJ 08544, USA
| | - Haw Yang
- Department of Chemistry, Princeton University, NJ 08544, USA
| | - Kaushik Sengupta
- Department of Electrical Engineering. Princeton University, NJ 08544, USA
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14
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Abstract
Bioelectronic microdevices are an emerging class of biomedical devices miniaturized at the scale of a millimeter or less, which promise new capabilities for monitoring and treating human disease. Although rapid progress has been made in the sensing and actuation capabilities of microdevices, a major technological challenge remains in the way that these devices are powered within the body. In this review, we revisit the power requirements of microdevices, describe current methods for storing, transferring or harvesting energy in microdevices, provide an overview of emerging powering approaches and discuss the promise of microdevices in biomedicine.
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Affiliation(s)
- Pui Mun Lee
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
| | - Ze Xiong
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
| | - John Ho
- Department of Electrical & Computer Engineering, National University of Singapore, 117456, Singapore
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