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Efimov AI, Hibberd TJ, Wang Y, Wu M, Zhang K, Ting K, Madhvapathy S, Lee MK, Kim J, Kang J, Riahi M, Zhang H, Travis L, Govier EJ, Yang L, Kelly N, Huang Y, Vázquez-Guardado A, Spencer NJ, Rogers JA. Remote optogenetic control of the enteric nervous system and brain-gut axis in freely-behaving mice enabled by a wireless, battery-free optoelectronic device. Biosens Bioelectron 2024; 258:116298. [PMID: 38701537 DOI: 10.1016/j.bios.2024.116298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/03/2024] [Accepted: 04/14/2024] [Indexed: 05/05/2024]
Abstract
Wireless activation of the enteric nervous system (ENS) in freely moving animals with implantable optogenetic devices offers a unique and exciting opportunity to selectively control gastrointestinal (GI) transit in vivo, including the gut-brain axis. Programmed delivery of light to targeted locations in the GI-tract, however, poses many challenges not encountered within the central nervous system (CNS). We report here the development of a fully implantable, battery-free wireless device specifically designed for optogenetic control of the GI-tract, capable of generating sufficient light over large areas to robustly activate the ENS, potently inducing colonic motility ex vivo and increased propulsion in vivo. Use in in vivo studies reveals unique stimulation patterns that increase expulsion of colonic content, likely mediated in part by activation of an extrinsic brain-gut motor pathway, via pelvic nerves. This technology overcomes major limitations of conventional wireless optogenetic hardware designed for the CNS, providing targeted control of specific neurochemical classes of neurons in the ENS and brain-gut axis, for direct modulation of GI-transit and associated behaviours in freely moving animals.
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Affiliation(s)
- Andrew I Efimov
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Timothy J Hibberd
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Yue Wang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Mingzheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Kaiqing Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA; State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, Liaoning, China
| | - Kaila Ting
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Neurobiology, Northwestern University, Evanston, IL, 60208, USA
| | - Surabhi Madhvapathy
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Min-Kyu Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Jiheon Kang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Mohammad Riahi
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA
| | - Haohui Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Lee Travis
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Emily J Govier
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia
| | - Lianye Yang
- Department of Biomedical Engineering, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Nigel Kelly
- Department of Biomedical Engineering, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Abraham Vázquez-Guardado
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA; Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, NC, 27606, USA.
| | - Nick J Spencer
- College of Medicine and Public Health, Flinders Health and Medical Research Institute, Flinders University, Australia.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA; Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, 60208, USA.
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2
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Ouyang W, Kilner KJ, Xavier RMP, Liu Y, Lu Y, Feller SM, Pitts KM, Wu M, Ausra J, Jones I, Wu Y, Luan H, Trueb J, Higbee-Dempsey EM, Stepien I, Ghoreishi-Haack N, Haney CR, Li H, Kozorovitskiy Y, Heshmati M, Banks AR, Golden SA, Good CH, Rogers JA. An implantable device for wireless monitoring of diverse physio-behavioral characteristics in freely behaving small animals and interacting groups. Neuron 2024; 112:1764-1777.e5. [PMID: 38537641 PMCID: PMC11256974 DOI: 10.1016/j.neuron.2024.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/08/2024] [Accepted: 02/28/2024] [Indexed: 06/09/2024]
Abstract
Comprehensive, continuous quantitative monitoring of intricately orchestrated physiological processes and behavioral states in living organisms can yield essential data for elucidating the function of neural circuits under healthy and diseased conditions, for defining the effects of potential drugs and treatments, and for tracking disease progression and recovery. Here, we report a wireless, battery-free implantable device and a set of associated algorithms that enable continuous, multiparametric physio-behavioral monitoring in freely behaving small animals and interacting groups. Through advanced analytics approaches applied to mechano-acoustic signals of diverse body processes, the device yields heart rate, respiratory rate, physical activity, temperature, and behavioral states. Demonstrations in pharmacological, locomotor, and acute and social stress tests and in optogenetic studies offer unique insights into the coordination of physio-behavioral characteristics associated with healthy and perturbed states. This technology has broad utility in neuroscience, physiology, behavior, and other areas that rely on studies of freely moving, small animal models.
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Affiliation(s)
- Wei Ouyang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
| | - Keith J Kilner
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA
| | | | - Yiming Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yinsheng Lu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Kayla M Pitts
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Mingzheng Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Ian Jones
- NeuroLux Inc., Northfield, IL 60093, USA
| | - Yunyun Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jacob Trueb
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | | | - Iwona Stepien
- Developmental Therapeutics Core, Northwestern University, Evanston, IL 60208, USA
| | | | - Chad R Haney
- Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL 60208, USA
| | - Hao Li
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA; Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Mitra Heshmati
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA; Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), University of Washington, Seattle, WA 98195, USA; Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA
| | - Anthony R Banks
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA
| | - Sam A Golden
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA; Center of Excellence in Neurobiology of Addiction, Pain, and Emotion (NAPE), University of Washington, Seattle, WA 98195, USA.
| | - Cameron H Good
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; NeuroLux Inc., Northfield, IL 60093, USA.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA; Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA; Department of Chemistry, Northwestern University, Evanston, IL 60208, USA; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA.
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3
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Gutruf P. Monolithically Defined Wireless Fully Implantable Nervous System Interfaces. Acc Chem Res 2024; 57:1275-1286. [PMID: 38608256 DOI: 10.1021/acs.accounts.4c00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
Evolution of implantable neural interfaces is critical in addressing the challenges in understanding the fundamental working principles and therapeutic applications for central and peripheral nervous systems. Traditional approaches utilizing hermetically sealed, rigid electronics and detached electrodes face challenges in power supply, encapsulation, channel count, dispersed application location, and modality. Employing thin-film, wirelessly powered devices is promising to expand capabilities. Devices that forego bulky power supplies, favoring a configuration where electronics are integrated directly onto thin films, reduce displacement volumes for seamless, fully implantable interfaces with high energy availability and soft mechanics to conform to the neuronal target. We discuss 3 device architectures: (1) Highly miniaturized devices that merge electronics and neural interfaces into a single, injectable format; (2) Interfaces that consolidate power, computation, and neural connectivity on a thin sheet applied directly to the target area; (3) A spatially dislocated approach where power and computation are situated subdermally, connected via a thin interconnect to the neural interface.Each has advantages and constraints in terms of implantation invasiveness, power capturing efficiency, and directional sensitivity of power delivery. In powering these devices, near-field power delivery emerges as the most implemented technique. Key parameters are size and volume of primary and secondary antennas, which determine coupling efficiency and power delivery. Based on application requirements, ranging from small to large animal models, subjects require system level designs. Material strategies play a crucial role; monolithic designs, with materials like polyimide substrates, enable scalability with high performance. This contrasts with established hermetic encapsulation approaches that use a stainless steel or titanium box with passthroughs that result in large tissue displacements and prohibit intimate integration with target organ systems. Encapsulation, particularly with parylene, enables longevity and effectiveness; more research is needed to enable human lifetime operation. Implant-to-ambient device communication, focusing on strategies compatible with well-established standards and off-the-shelf electronics, is discussed with the goal of enabling seamless system integration, reliability, and scalability. The interface with the central nervous system is explored through various wireless, battery-free devices capable of both stimulation (electrical and optogenetic) and recording (photometric and electrochemical). These devices show advanced capabilities for chronic studies and insights into neural dynamics. In the peripheral nervous system, stimulation devices for applications, such as spinal and muscle stimulation, are discussed. The challenges lie in the mechanical and electrochemical durability. Examples that successfully navigate these challenges offer solutions for chronic studies in this domain. The potential of wireless, fully implantable nervous system interfaces using near field resonant power transfer is characterized by monolithically defined device architecture, providing a significant leap toward seamless access to the central and peripheral nervous systems. New avenues for research and therapeutic applications supporting a multimodal and multisite approach to neuromodulation with a high degree of connectivity and a holistic approach toward deciphering and supplementing the nervous system may enable recovery and treatment of injury and chronic disease.
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Affiliation(s)
- Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
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4
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Bhatia A, Hanna J, Stuart T, Kasper KA, Clausen DM, Gutruf P. Wireless Battery-free and Fully Implantable Organ Interfaces. Chem Rev 2024; 124:2205-2280. [PMID: 38382030 DOI: 10.1021/acs.chemrev.3c00425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-free power supplies are resulting in a new generation of fully implantable organ interfaces that leverage volumetric reduction and soft mechanics by eliminating electrochemical power storage. This device class offers the ability to provide high-fidelity readouts of physiological processes, enables stimulation, and allows control over organs to realize new therapeutic and diagnostic paradigms. Driven by seamless integration with connected infrastructure, these devices enable personalized digital medicine. Key to advances are carefully designed material, electrophysical, electrochemical, and electromagnetic systems that form implantables with mechanical properties closely matched to the target organ to deliver functionality that supports high-fidelity sensors and stimulators. The elimination of electrochemical power supplies enables control over device operation, anywhere from acute, to lifetimes matching the target subject with physical dimensions that supports imperceptible operation. This review provides a comprehensive overview of the basic building blocks of battery-free organ interfaces and related topics such as implantation, delivery, sterilization, and user acceptance. State of the art examples categorized by organ system and an outlook of interconnection and advanced strategies for computation leveraging the consistent power influx to elevate functionality of this device class over current battery-powered strategies is highlighted.
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Affiliation(s)
- Aman Bhatia
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Jessica Hanna
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Tucker Stuart
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Kevin Albert Kasper
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - David Marshall Clausen
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
| | - Philipp Gutruf
- Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona 85721, United States
- Department of Electrical and Computer Engineering, The University of Arizona, Tucson, Arizona 85721, United States
- Bio5 Institute, The University of Arizona, Tucson, Arizona 85721, United States
- Neuroscience Graduate Interdisciplinary Program (GIDP), The University of Arizona, Tucson, Arizona 85721, United States
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5
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Butscher JF, Hillebrandt S, Mischok A, Popczyk A, Booth JHH, Gather MC. Wireless magnetoelectrically powered organic light-emitting diodes. SCIENCE ADVANCES 2024; 10:eadm7613. [PMID: 38446883 PMCID: PMC10917343 DOI: 10.1126/sciadv.adm7613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Compact wireless light sources are a fundamental building block for applications ranging from wireless displays to optical implants. However, their realization remains challenging because of constraints in miniaturization and the integration of power harvesting and light-emission technologies. Here, we introduce a strategy for a compact wirelessly powered light-source that consists of a magnetoelectric transducer serving as power source and substrate and an antiparallel pair of custom-designed organic light-emitting diodes. The devices operate at low-frequency ac magnetic fields (~100 kHz), which has the added benefit of allowing operation multiple centimeters deep inside watery environments. By tuning the device resonance frequency, it is possible to separately address multiple devices, e.g., to produce light of distinct colors, to address individual display pixels, or for clustered operation. By simultaneously offering small size, individual addressing, and compatibility with challenging environments, our devices pave the way for a multitude of applications in wireless displays, deep tissue treatment, sensing, and imaging.
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Affiliation(s)
- Julian F. Butscher
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Sabina Hillebrandt
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Andreas Mischok
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Anna Popczyk
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Jonathan H. H. Booth
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
| | - Malte C. Gather
- Centre of Biophotonics, SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK
- Humboldt Centre for Nano- and Biophotonics, Department of Chemistry, University of Cologne, Cologne, Germany
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6
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Jiang S, Wu X, Yang F, Rommelfanger NJ, Hong G. Activation of mechanoluminescent nanotransducers by focused ultrasound enables light delivery to deep-seated tissue in vivo. Nat Protoc 2023; 18:3787-3820. [PMID: 37914782 DOI: 10.1038/s41596-023-00895-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 07/27/2023] [Indexed: 11/03/2023]
Abstract
Light is used extensively in biological and medical research for optogenetic neuromodulation, fluorescence imaging, photoactivatable gene editing and light-based therapies. The major challenge to the in vivo implementation of light-based methods in deep-seated structures of the brain or of internal organs is the limited penetration of photons in biological tissue. The presence of light scattering and absorption has resulted in the development of invasive techniques such as the implantation of optical fibers, the insertion of endoscopes and the surgical removal of overlying tissues to overcome light attenuation and deliver it deep into the body. However, these procedures are highly invasive and make it difficult to reposition and adjust the illuminated area in each animal. Here, we detail a noninvasive approach to deliver light (termed 'deLight') in deep tissue via systemically injected mechanoluminescent nanotransducers that can be gated by using focused ultrasound. This approach achieves localized light emission with sub-millimeter resolution and millisecond response times in any vascularized organ of living mice without requiring invasive implantation of light-emitting devices. For example, deLight enables optogenetic neuromodulation in live mice without a craniotomy or brain implants. deLight provides a generalized method for applications that require a light source in deep tissues in vivo, such as deep-brain fluorescence imaging and photoactivatable genome editing. The implementation of the entire protocol for an in vivo application takes ~1-2 weeks.
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Affiliation(s)
- Shan Jiang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Nicholas J Rommelfanger
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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7
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Burton A, Wang Z, Song D, Tran S, Hanna J, Ahmad D, Bakall J, Clausen D, Anderson J, Peralta R, Sandepudi K, Benedetto A, Yang E, Basrai D, Miller LE, Tresch MC, Gutruf P. Fully implanted battery-free high power platform for chronic spinal and muscular functional electrical stimulation. Nat Commun 2023; 14:7887. [PMID: 38036552 PMCID: PMC10689769 DOI: 10.1038/s41467-023-43669-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/16/2023] [Indexed: 12/02/2023] Open
Abstract
Electrical stimulation of the neuromuscular system holds promise for both scientific and therapeutic biomedical applications. Supplying and maintaining the power necessary to drive stimulation chronically is a fundamental challenge in these applications, especially when high voltages or currents are required. Wireless systems, in which energy is supplied through near field power transfer, could eliminate complications caused by battery packs or external connections, but currently do not provide the harvested power and voltages required for applications such as muscle stimulation. Here, we introduce a passive resonator optimized power transfer design that overcomes these limitations, enabling voltage compliances of ± 20 V and power over 300 mW at device volumes of 0.2 cm2, thereby improving power transfer 500% over previous systems. We show that this improved performance enables multichannel, biphasic, current-controlled operation at clinically relevant voltage and current ranges with digital control and telemetry in freely behaving animals. Preliminary chronic results indicate that implanted devices remain operational over 6 weeks in both intact and spinal cord injured rats and are capable of producing fine control of spinal and muscle stimulation.
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Affiliation(s)
- Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Zhong Wang
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Dan Song
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Sam Tran
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Jessica Hanna
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Dhrubo Ahmad
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Jakob Bakall
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - David Clausen
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Jerry Anderson
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Roberto Peralta
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Kirtana Sandepudi
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Alex Benedetto
- Interdepartmental Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Ethan Yang
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Diya Basrai
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Lee E Miller
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Interdepartmental Neuroscience, Northwestern University, Chicago, IL, 60611, USA
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, 60611, USA
| | - Matthew C Tresch
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA.
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, 60611, USA.
- Shirley Ryan AbilityLab, Chicago, IL, 60611, USA.
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA.
- Bio5 Institute and Department of Neurology, University of Arizona, Tucson, AZ, 85721, USA.
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA.
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8
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Bartlett M, He M, Ranke D, Wang Y, Cohen-Karni T. A snapshot review on materials enabled multimodal bioelectronics for neurological and cardiac research. MRS ADVANCES 2023; 8:1047-1060. [PMID: 38283671 PMCID: PMC10812139 DOI: 10.1557/s43580-023-00645-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/08/2023] [Indexed: 01/30/2024]
Abstract
Seamless integration of the body and electronics toward the understanding, quantification, and control of disease states remains one of the grand scientific challenges of this era. As such, research efforts have been dedicated to developing bioelectronic devices for chemical, mechanical, and electrical sensing, and cellular and tissue functionality modulation. The technologies developed to achieve these capabilities cross a wide range of materials and scale (and dimensionality), e.g., from micrometer to centimeters (from 2-dimensional (2D) to 3-dimensional (3D) assemblies). The integration into multimodal systems which allow greater insight and control into intrinsically multifaceted biological systems requires careful design and selection. This snapshot review will highlight the state-of-the-art in cellular recording and modulation as well as the material considerations for the design and manufacturing of devices integrating their capabilities.
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Affiliation(s)
- Mabel Bartlett
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Mengdi He
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Daniel Ranke
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Yingqiao Wang
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Tzahi Cohen-Karni
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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9
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Xu S, Momin M, Ahmed S, Hossain A, Veeramuthu L, Pandiyan A, Kuo CC, Zhou T. Illuminating the Brain: Advances and Perspectives in Optoelectronics for Neural Activity Monitoring and Modulation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2303267. [PMID: 37726261 DOI: 10.1002/adma.202303267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/30/2023] [Indexed: 09/21/2023]
Abstract
Optogenetic modulation of brain neural activity that combines optical and electrical modes in a unitary neural system has recently gained robust momentum. Controlling illumination spatial coverage, designing light-activated modulators, and developing wireless light delivery and data transmission are crucial for maximizing the use of optical neuromodulation. To this end, biocompatible electrodes with enhanced optoelectrical performance, device integration for multiplexed addressing, wireless transmission, and multimodal operation in soft systems have been developed. This review provides an outlook for uniformly illuminating large brain areas while spatiotemporally imaging the neural responses upon optoelectrical stimulation with little artifacts. Representative concepts and important breakthroughs, such as head-mounted illumination, multiple implanted optical fibers, and micro-light-delivery devices, are discussed. Examples of techniques that incorporate electrophysiological monitoring and optoelectrical stimulation are presented. Challenges and perspectives are posed for further research efforts toward high-density optoelectrical neural interface modulation, with the potential for nonpharmacological neurological disease treatments and wireless optoelectrical stimulation.
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Affiliation(s)
- Shumao Xu
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Marzia Momin
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Salahuddin Ahmed
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Arafat Hossain
- Department of Electrical Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
| | - Loganathan Veeramuthu
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Archana Pandiyan
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Chi-Ching Kuo
- Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, 10608, Republic of China
| | - Tao Zhou
- Department of Engineering Science and Mechanics, Center for Neural Engineering, The Pennsylvania State University, Pennsylvania, 16802, USA
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10
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Park J, Kim K, Kim Y, Kim TS, Min IS, Li B, Cho YU, Lee C, Lee JY, Gao Y, Kang K, Kim DH, Choi WJ, Shin HB, Kang HK, Song YM, Cheng H, Cho IJ, Yu KJ. A wireless, solar-powered, optoelectronic system for spatial restriction-free long-term optogenetic neuromodulations. SCIENCE ADVANCES 2023; 9:eadi8918. [PMID: 37756405 PMCID: PMC10530225 DOI: 10.1126/sciadv.adi8918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023]
Abstract
Numerous wireless optogenetic systems have been reported for practical tether-free optogenetics in freely moving animals. However, most devices rely on battery-powered or coil-powered systems requiring periodic battery replacement or bulky, high-cost charging equipment with delicate antenna design. This leads to spatiotemporal constraints, such as limited experimental duration due to battery life or animals' restricted movement within specific areas to maintain wireless power transmission. In this study, we present a wireless, solar-powered, flexible optoelectronic device for neuromodulation of the complete freely behaving subject. This device provides chronic operation without battery replacement or other external settings including impedance matching technique and radio frequency generators. Our device uses high-efficiency, thin InGaP/GaAs tandem flexible photovoltaics to harvest energy from various light sources, which powers Bluetooth system to facilitate long-term, on-demand use. Observation of sustained locomotion behaviors for a month in mice via secondary motor cortex area stimulation demonstrates the notable capabilities of our device, highlighting its potential for space-free neuromodulating applications.
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Affiliation(s)
- Jaejin Park
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Kyubeen Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yujin Kim
- Department of Biomedical Sciences, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Tae Soo Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Center for Opto-Electronic Materials and Devices, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - In Sik Min
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Bowen Li
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Young Uk Cho
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Chanwoo Lee
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Ju Young Lee
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yuyan Gao
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kyowon Kang
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Do Hyeon Kim
- School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Won Jun Choi
- Center for Opto-Electronic Materials and Devices, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - Hyun-Beom Shin
- Korea Advanced Nano Fab Center (KANC), Suwon 443-270, Korea
| | - Ho Kwan Kang
- Korea Advanced Nano Fab Center (KANC), Suwon 443-270, Korea
| | - Young Min Song
- School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
- Materials Research Institute, The Pennsylvania State University, University Park, PA 16802, USA
| | - Il-Joo Cho
- Department of Biomedical Sciences, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Ki Jun Yu
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Department of Electrical and Electronic Engineering, YU-Korea Institute of Science and Technology (KIST) Institute, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
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11
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Shang X, Ling W, Chen Y, Li C, Huang X. Construction of a Flexible Optogenetic Device for Multisite and Multiregional Optical Stimulation Through Flexible µ-LED Displays on the Cerebral Cortex. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2302241. [PMID: 37260144 DOI: 10.1002/smll.202302241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/14/2023] [Indexed: 06/02/2023]
Abstract
Precisely delivering light to multiple locations in biological tissue is crucial for advancing multiregional optogenetics in neuroscience research. However, conventional implantable devices typically have rigid geometries and limited light sources, allowing only single or dual probe placement with fixed spacing. Here, a fully flexible optogenetic device with multiple thin-film microscale light-emitting diode (µ-LED) displays scattering from a central controller is presented. Each display is heterogeneously integrated with thin-film 5 × 10 µ-LEDs and five optical fibers 125 µm in diameter to achieve cellular-scale spatial resolution. Meanwhile, the device boasts a compact, flexible circuit capable of multichannel configuration and wireless transmission, with an overall weight of 1.31 g, enabling wireless, real-time neuromodulation of freely moving rats. Characterization results and finite element analysis have demonstrated excellent optical properties and mechanical stability, while cytotoxicity tests further ensure the biocompatibility of the device for implantable applications. Behavior studies under optogenetic modulation indicate great promise for wirelessly modulating neural functions in freely moving animals. The device with multisite and multiregional optogenetic modulation capability offers a comprehensive platform to advance both fundamental neuroscience studies and potential applications in brain-computer interfaces.
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Affiliation(s)
- Xue Shang
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Wei Ling
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Laboratory, Hangzhou, 311100, China
| | - Ying Chen
- Institute of Flexible Electronic Technology of Tsinghua, Jiaxing, 314006, China
- Jiaxing Key Laboratory of Flexible Electronics based Intelligent Sensing and Advanced Manufacturing Technology, Jiaxing, 314000, China
| | - Chenxi Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Xian Huang
- Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
- Institute of Wearable Technology and Bioelectronics, Qiantang Science and Technology Innovation Center, 1002 23rd Street, Hangzhou, 310018, China
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12
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Karatum O, Han M, Erdogan ET, Karamursel S, Nizamoglu S. Physical mechanisms of emerging neuromodulation modalities. J Neural Eng 2023; 20:031001. [PMID: 37224804 DOI: 10.1088/1741-2552/acd870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 05/24/2023] [Indexed: 05/26/2023]
Abstract
One of the ultimate goals of neurostimulation field is to design materials, devices and systems that can simultaneously achieve safe, effective and tether-free operation. For that, understanding the working mechanisms and potential applicability of neurostimulation techniques is important to develop noninvasive, enhanced, and multi-modal control of neural activity. Here, we review direct and transduction-based neurostimulation techniques by discussing their interaction mechanisms with neurons via electrical, mechanical, and thermal means. We show how each technique targets modulation of specific ion channels (e.g. voltage-gated, mechanosensitive, heat-sensitive) by exploiting fundamental wave properties (e.g. interference) or engineering nanomaterial-based systems for efficient energy transduction. Overall, our review provides a detailed mechanistic understanding of neurostimulation techniques together with their applications toin vitro, in vivo, and translational studies to guide the researchers toward developing more advanced systems in terms of noninvasiveness, spatiotemporal resolution, and clinical applicability.
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Affiliation(s)
- Onuralp Karatum
- Department of Electrical and Electronics Engineering, Koc University, Istanbul 34450, Turkey
| | - Mertcan Han
- Department of Electrical and Electronics Engineering, Koc University, Istanbul 34450, Turkey
| | - Ezgi Tuna Erdogan
- Department of Physiology, Koc University School of Medicine, Istanbul 34450, Turkey
| | - Sacit Karamursel
- Department of Physiology, Koc University School of Medicine, Istanbul 34450, Turkey
| | - Sedat Nizamoglu
- Department of Electrical and Electronics Engineering, Koc University, Istanbul 34450, Turkey
- Department of Biomedical Science and Engineering, Koc University, Istanbul 34450, Turkey
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13
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Guo C, Wang A, Cheng H, Chen L. New imaging instrument in animal models: Two-photon miniature microscope and large field of view miniature microscope for freely behaving animals. J Neurochem 2023; 164:270-283. [PMID: 36281555 DOI: 10.1111/jnc.15711] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 09/19/2022] [Accepted: 10/12/2022] [Indexed: 11/30/2022]
Abstract
Over the past decade, novel optical imaging tools have been developed for imaging neuronal activities along with the evolution of fluorescence indicators with brighter expression and higher sensitivity. Miniature microscopes, as revolutionary approaches, enable the imaging of large populations of neuron ensembles in freely behaving rodents and mammals, which allows exploring the neural basis of behaviors. Recent progress in two-photon miniature microscopes and mesoscale single-photon miniature microscopes further expand those affordable methods to navigate neural activities during naturalistic behaviors. In this review article, two-photon miniature microscopy techniques are summarized historically from the first documented attempt to the latest ones, and comparisons are made. The driving force behind and their potential for neuroscientific inquiries are also discussed. Current progress in terms of the mesoscale, i.e., the large field-of-view miniature microscopy technique, is addressed as well. Then, pipelines for registering single cells from the data of two-photon and large field-of-view miniature microscopes are discussed. Finally, we present the potential evolution of the techniques.
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Affiliation(s)
- Changliang Guo
- Beijing Institute of Collaborative Innovation, Beijing, China.,State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, College of Future Technology, Peking University, Beijing, China
| | - Aimin Wang
- School of Electronics, Peking University, Beijing, China.,State Key Laboratory of Advanced Optical Communication System and Networks, Peking University, Beijing, China
| | - Heping Cheng
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, College of Future Technology, Peking University, Beijing, China.,Research Unit of Mitochondria in Brain Diseases, Chinese Academy of Medical Sciences, PKU-Nanjing Institute of Translational Medicine, Nanjing, China
| | - Liangyi Chen
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, College of Future Technology, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Beijing, China.,Beijing Academy of Artificial Intelligence, Beijing, China
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14
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Stuart T, Jeang WJ, Slivicki RA, Brown BJ, Burton A, Brings VE, Alarcón-Segovia LC, Agyare P, Ruiz S, Tyree A, Pruitt L, Madhvapathy S, Niemiec M, Zhuang J, Krishnan S, Copits BA, Rogers JA, Gereau RW, Samineni VK, Bandodkar AJ, Gutruf P. Wireless, Battery-Free Implants for Electrochemical Catecholamine Sensing and Optogenetic Stimulation. ACS NANO 2023; 17:561-574. [PMID: 36548126 DOI: 10.1021/acsnano.2c09475] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Neurotransmitters and neuromodulators mediate communication between neurons and other cell types; knowledge of release dynamics is critical to understanding their physiological role in normal and pathological brain function. Investigation into transient neurotransmitter dynamics has largely been hindered due to electrical and material requirements for electrochemical stimulation and recording. Current systems require complex electronics for biasing and amplification and rely on materials that offer limited sensor selectivity and sensitivity. These restrictions result in bulky, tethered, or battery-powered systems impacting behavior and that require constant care of subjects. To overcome these challenges, we demonstrate a fully implantable, wireless, and battery-free platform that enables optogenetic stimulation and electrochemical recording of catecholamine dynamics in real time. The device is nearly 1/10th the size of previously reported examples and includes a probe that relies on a multilayer electrode architecture featuring a microscale light emitting diode (μ-LED) and a carbon nanotube (CNT)-based sensor with sensitivities among the highest recorded in the literature (1264.1 nA μM-1 cm-2). High sensitivity of the probe combined with a center tapped antenna design enables the realization of miniaturized, low power circuits suitable for subdermal implantation even in small animal models such as mice. A series of in vitro and in vivo experiments highlight the sensitivity and selectivity of the platform and demonstrate its capabilities in freely moving, untethered subjects. Specifically, a demonstration of changes in dopamine concentration after optogenetic stimulation of the nucleus accumbens and real-time readout of dopamine levels after opioid and naloxone exposure in freely behaving subjects highlight the experimental paradigms enabled by the platform.
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Affiliation(s)
- Tucker Stuart
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - William J Jeang
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Richard A Slivicki
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Bobbie J Brown
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Victoria E Brings
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Lilian C Alarcón-Segovia
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Prophecy Agyare
- Department of Neuroscience, Northwestern University, Evanston, Illinois 60201, United States
| | - Savanna Ruiz
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Amanda Tyree
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Lindsay Pruitt
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Surabhi Madhvapathy
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
| | - Martin Niemiec
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - James Zhuang
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
| | - Siddharth Krishnan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
| | - Bryan A Copits
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - John A Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60201, United States
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, Illinois 60201, United States
- Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, Illinois 60208, United States
| | - Robert W Gereau
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Department of Neuroscience, Washington University, St. Louis, Missouri 63110, United States
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63110, United States
| | - Vijay K Samineni
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States
- Washington University Pain Center, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Amay J Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, United States
- Bio5 Institute, University of Arizona, Tucson, Arizona 85721, United States
- Neuroscience GIDP, University of Arizona, Tucson, Arizona 85721, United States
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15
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Zaraza D, Chernov MM, Yang Y, Rogers JA, Roe AW, Friedman RM. Head-mounted optical imaging and optogenetic stimulation system for use in behaving primates. CELL REPORTS METHODS 2022; 2:100351. [PMID: 36590689 PMCID: PMC9795332 DOI: 10.1016/j.crmeth.2022.100351] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/25/2022] [Accepted: 10/27/2022] [Indexed: 11/23/2022]
Abstract
Advances in optical technology have revolutionized studies of brain function in freely behaving mice. Here, we describe an optical imaging and stimulation device for use in primates that easily attaches to an intracranial chamber. It consists of affordable commercially available or 3D-printed components: a monochromatic camera, a small standard lens, a wireless μLED stimulator powered by an induction coil, and an LED array for illumination. We show that the intrinsic imaging performance of this device is comparable to a standard benchtop system in revealing the functional organization of the visual cortex for awake macaques in a primate chair or under anesthesia. Imaging revealed neural modulatory effects of wireless focal optogenetic stimulation aimed at identified functional domains. With a 1 to 2 cm field of view, 100× larger than previously used in primates without head restraint, our device permits widefield optical imaging and optogenetic stimulation for ethological studies in primates.
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Affiliation(s)
- Derek Zaraza
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | - Mykyta M. Chernov
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | - Yiyuan Yang
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - John A. Rogers
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Anna W. Roe
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | - Robert M. Friedman
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR 97006, USA
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16
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Ausra J, Madrid M, Yin RT, Hanna J, Arnott S, Brennan JA, Peralta R, Clausen D, Bakall JA, Efimov IR, Gutruf P. Wireless, fully implantable cardiac stimulation and recording with on-device computation for closed-loop pacing and defibrillation. SCIENCE ADVANCES 2022; 8:eabq7469. [PMID: 36288311 PMCID: PMC9604544 DOI: 10.1126/sciadv.abq7469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/06/2022] [Indexed: 06/16/2023]
Abstract
Monitoring and control of cardiac function are critical for investigation of cardiovascular pathophysiology and developing life-saving therapies. However, chronic stimulation of the heart in freely moving small animal subjects, which offer a variety of genotypes and phenotypes, is currently difficult. Specifically, real-time control of cardiac function with high spatial and temporal resolution is currently not possible. Here, we introduce a wireless battery-free device with on-board computation for real-time cardiac control with multisite stimulation enabling optogenetic modulation of the entire rodent heart. Seamless integration of the biointerface with the heart is enabled by machine learning-guided design of ultrathin arrays. Long-term pacing, recording, and on-board computation are demonstrated in freely moving animals. This device class enables new heart failure models and offers a platform to test real-time therapeutic paradigms over chronic time scales by providing means to control cardiac function continuously over the lifetime of the subject.
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Affiliation(s)
- Jokubas Ausra
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - Micah Madrid
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Rose T. Yin
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Jessica Hanna
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - Suzanne Arnott
- Department of Surgery, The George Washington University, Washington, DC 20037, USA
| | - Jaclyn A. Brennan
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Roberto Peralta
- Department of Aerospace and Mechanical Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - David Clausen
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - Jakob A. Bakall
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA
| | - Igor R. Efimov
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
- Department of Biomedical Engineering, Northwestern University, Chicago IL 60611, USA
- Department of Medicine (Cardiology), Northwestern University, Chicago, IL 60611, USA
| | - Philipp Gutruf
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA
- Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ 85721, USA
- Bio5 Institute, The University of Arizona, Tucson, AZ 85721, USA
- Neuroscience Graduate Interdisciplinary Program (GIDP), The University of Arizona, Tucson, AZ 85721, USA
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17
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Hee Lee J, Lee S, Kim D, Jae Lee K. Implantable Micro-Light-Emitting Diode (µLED)-based optogenetic interfaces toward human applications. Adv Drug Deliv Rev 2022; 187:114399. [PMID: 35716898 DOI: 10.1016/j.addr.2022.114399] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/29/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2022]
Abstract
Optogenetics has received wide attention in biomedical fields because of itsadvantages in temporal precision and spatial resolution. Beyond contributions to important advances in fundamental research, optogenetics is inspiring a shift towards new methods of improving human well-being and treating diseases. Soft, flexible and biocompatible systems using µLEDs as a light source have been introduced to realize brain-compatible optogenetic implants, but there are still many technical challenges to overcome before their human applications. In this review, we address progress in the development of implantable µLED probes and recent achievements in (i) device engineering design, (ii) driving power, (iii) multifunctionality and (iv) closed-loop systems. (v) Expanded optogenetic applications based on remarkable advances in µLED implants will also be discussed.
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Affiliation(s)
- Jae Hee Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Sinjeong Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Daesoo Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
| | - Keon Jae Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
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18
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Yang Y, Wu M, Wegener AJ, Vázquez-Guardado A, Efimov AI, Lie F, Wang T, Ma Y, Banks A, Li Z, Xie Z, Huang Y, Good CH, Kozorovitskiy Y, Rogers JA. Preparation and use of wireless reprogrammable multilateral optogenetic devices for behavioral neuroscience. Nat Protoc 2022; 17:1073-1096. [PMID: 35173306 PMCID: PMC9311268 DOI: 10.1038/s41596-021-00672-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/01/2021] [Indexed: 11/08/2022]
Abstract
Wireless battery-free optogenetic devices enable behavioral neuroscience studies in groups of animals with minimal interference to natural behavior. Real-time independent control of optogenetic stimulation through near-field communication dramatically expands the realm of applications of these devices in broad contexts of neuroscience research. Dissemination of these tools with advanced functionalities to the neuroscience community requires protocols for device manufacturing and experimental implementation. This protocol describes detailed procedures for fabrication, encapsulation and implantation of recently developed advanced wireless devices in head- and back-mounted forms. In addition, procedures for standard implementation of experimental systems in mice are provided. This protocol aims to facilitate the application of wireless optogenetic devices in advanced optogenetic experiments involving groups of freely moving rodents and complex environmental designs. The entire protocol lasts ~3-5 weeks.
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Affiliation(s)
- Yiyuan Yang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
| | - Mingzheng Wu
- Department of Neurobiology, Northwestern University, Evanston, IL, USA
| | - Amy J Wegener
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA
| | - Abraham Vázquez-Guardado
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
| | - Andrew I Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
| | | | - Taoyi Wang
- Department of Precision Instrument, Tsinghua University, Beijing, China
| | - Yuhang Ma
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Anthony Banks
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Neurolux Inc., Evanston, IL, USA
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Zhengwei Li
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
| | - Zhaoqian Xie
- State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Department of Engineering Mechanics, Dalian University of Technology, Dalian, China
- Ningbo Institute of Dalian University of Technology, Ningbo, China
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
| | - Cameron H Good
- US Army Research Laboratory, Aberdeen Proving Ground, MD, USA.
- US Army Medical Research Institute of Chemical Defense, Aberdeen Proving Ground, MD, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL, USA.
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL, USA.
- Chemistry of Life Processes Institutes, Northwestern University, Evanston, IL, USA.
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
- Neurolux Inc., Evanston, IL, USA.
- Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Neurological Surgery, Northwestern University, Evanston, IL, USA.
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
- Department of Computer Science, Northwestern University, Evanston, IL, USA.
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Balakrishnan G, Song J, Mou C, Bettinger CJ. Recent Progress in Materials Chemistry to Advance Flexible Bioelectronics in Medicine. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2106787. [PMID: 34751987 PMCID: PMC8917047 DOI: 10.1002/adma.202106787] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 10/15/2021] [Indexed: 05/09/2023]
Abstract
Designing bioelectronic devices that seamlessly integrate with the human body is a technological pursuit of great importance. Bioelectronic medical devices that reliably and chronically interface with the body can advance neuroscience, health monitoring, diagnostics, and therapeutics. Recent major efforts focus on investigating strategies to fabricate flexible, stretchable, and soft electronic devices, and advances in materials chemistry have emerged as fundamental to the creation of the next generation of bioelectronics. This review summarizes contemporary advances and forthcoming technical challenges related to three principal components of bioelectronic devices: i) substrates and structural materials, ii) barrier and encapsulation materials, and iii) conductive materials. Through notable illustrations from the literature, integration and device fabrication strategies and associated challenges for each material class are highlighted.
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Affiliation(s)
| | - Jiwoo Song
- Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA
| | - Chenchen Mou
- Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA
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20
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Weithmann G, Link RM, Banzragch BE, Würzberg L, Leuschner C, Schuldt B. Soil water availability and branch age explain variability in xylem safety of European beech in Central Europe. Oecologia 2022; 198:629-644. [PMID: 35212818 PMCID: PMC8956530 DOI: 10.1007/s00442-022-05124-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 01/24/2022] [Indexed: 12/17/2022]
Abstract
Xylem embolism resistance has been identified as a key trait with a causal relation to drought-induced tree mortality, but not much is known about its intra-specific trait variability (ITV) in dependence on environmental variation. We measured xylem safety and efficiency in 300 European beech (Fagus sylvatica L.) trees across 30 sites in Central Europe, covering a precipitation reduction from 886 to 522 mm year−1. A broad range of variables that might affect embolism resistance in mature trees, including climatic and soil water availability, competition, and branch age, were examined. The average P50 value varied by up to 1 MPa between sites. Neither climatic aridity nor structural variables had a significant influence on P50. However, P50 was less negative for trees with a higher soil water storage capacity, and positively related to branch age, while specific conductivity (Ks) was not significantly associated with either of these variables. The greatest part of the ITV for xylem safety and efficiency was attributed to random variability within populations. We conclude that the influence of site water availability on P50 and Ks is low in European beech, and that the high degree of within-population variability for P50, partly due to variation in branch age, hampers the identification of a clear environmental signal.
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Affiliation(s)
- Greta Weithmann
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany
| | - Roman M Link
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany.,Ecophysiology and Vegetation Ecology, Julius-von-Sachs-Institute of Biological Sciences, University of Würzburg, Julius-von-Sachs-Platz, 97082, Würzburg, Germany
| | - Bat-Enerel Banzragch
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany
| | - Laura Würzberg
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany
| | - Christoph Leuschner
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany.,Centre for Biodiversity and Sustainable Land Use (CBL), University of Goettingen, 37075, Göttingen, Germany
| | - Bernhard Schuldt
- Plant Ecology, Albrecht Von Haller Institute for Plant Sciences, University of Goettingen, Untere Karspüle 2, 37073, Göttingen, Germany. .,Ecophysiology and Vegetation Ecology, Julius-von-Sachs-Institute of Biological Sciences, University of Würzburg, Julius-von-Sachs-Platz, 97082, Würzburg, Germany.
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21
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Truong TA, Nguyen TK, Zhao H, Nguyen NK, Dinh T, Park Y, Nguyen T, Yamauchi Y, Nguyen NT, Phan HP. Engineering Stress in Thin Films: An Innovative Pathway Toward 3D Micro and Nanosystems. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2105748. [PMID: 34874620 DOI: 10.1002/smll.202105748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/23/2021] [Indexed: 06/13/2023]
Abstract
Transformation of conventional 2D platforms into unusual 3D configurations provides exciting opportunities for sensors, electronics, optical devices, and biological systems. Engineering material properties or controlling and modulating stresses in thin films to pop-up 3D structures out of standard planar surfaces has been a highly active research topic over the last decade. Implementation of 3D micro and nanoarchitectures enables unprecedented functionalities including multiplexed, monolithic mechanical sensors, vertical integration of electronics components, and recording of neuron activities in 3D organoids. This paper provides an overview on stress engineering approaches to developing 3D functional microsystems. The paper systematically presents the origin of stresses generated in thin films and methods to transform a 2D design into an out-of-plane configuration. Different types of 3D micro and nanostructures, along with their applications in several areas are discussed. The paper concludes with current technical challenges and potential approaches and applications of this fast-growing research direction.
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Affiliation(s)
- Thanh-An Truong
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Tuan-Khoa Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Hangbo Zhao
- Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, 90089, USA
| | - Nhat-Khuong Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Toan Dinh
- Centre for Future Materials, University of Southern Queensland, Ipswich, Queensland, 4305, Australia
| | - Yoonseok Park
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Thanh Nguyen
- Centre for Future Materials, University of Southern Queensland, Ipswich, Queensland, 4305, Australia
| | - Yusuke Yamauchi
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Nam-Trung Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
| | - Hoang-Phuong Phan
- Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, Queensland, 4111, Australia
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22
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23
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Thermal Analysis on Active Heat Dissipation Design with Embedded Flow Channels for Flexible Electronic Devices. MICROMACHINES 2021; 12:mi12101165. [PMID: 34683216 PMCID: PMC8538787 DOI: 10.3390/mi12101165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/19/2021] [Accepted: 09/24/2021] [Indexed: 12/15/2022]
Abstract
Heat generation is a major issue in all electronics, as heat reduces product life, reliability, and performance, especially in flexible electronics with low thermal-conductivity polymeric substrates. In this sense, the active heat dissipation design with flow channels holds great promise. Here, a theoretical model, validated by finite element analysis and experiments, based on the method of the separation of variables, is developed to study the thermal behavior of the active heat dissipation design with an embedded flow channel. The influences of temperature and flow velocity of the fluid on heat dissipation performance were systematically investigated. The influence of channel spacing on heat dissipation performance was also studied by finite element analysis. The study shows that performance can be improved by decreasing the fluid temperature or increasing the flow velocity and channel density. These results can help guide the design of active heat dissipation with embedded flow channels to reduce adverse effects due to excessive heating, thus enhancing the performance and longevity of electronic products.
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