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Shah N, Iyer V, Zhang Z, Gao Z, Park J, Yelleswarapu V, Aflatouni F, Charlie Johnson AT, Issadore D. Highly stable integration of graphene Hall sensors on a microfluidic platform for magnetic sensing in whole blood. MICROSYSTEMS & NANOENGINEERING 2023; 9:71. [PMID: 37275264 PMCID: PMC10232500 DOI: 10.1038/s41378-023-00530-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/01/2023] [Accepted: 03/20/2023] [Indexed: 06/07/2023]
Abstract
The detection and analysis of rare cells in complex media such as blood is increasingly important in biomedical research and clinical diagnostics. Micro-Hall detectors (μHD) for magnetic detection in blood have previously demonstrated ultrahigh sensitivity to rare cells. This sensitivity originates from the minimal magnetic background in blood, obviating cumbersome and detrimental sample preparation. However, the translation of this technology to clinical applications has been limited by inherently low throughput (<1 mL/h), susceptibility to clogging, and incompatibility with commercial CMOS foundry processing. To help overcome these challenges, we have developed CMOS-compatible graphene Hall sensors for integration with PDMS microfluidics for magnetic sensing in blood. We demonstrate that these graphene μHDs can match the performance of the best published μHDs, can be passivated for robust use with whole blood, and can be integrated with microfluidics and sensing electronics for in-flow detection of magnetic beads. We show a proof-of-concept validation of our system on a silicon substrate and detect magnetic agarose beads, as a model for cells, demonstrating promise for future integration in clinical applications with a custom CMOS chip.
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Affiliation(s)
- Nishal Shah
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Vasant Iyer
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Zhiping Zhang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Zhaoli Gao
- Department of Biomedical Engineering, Chinese University of Hong Kong, Shatin, Hong Kong
| | - Juhwan Park
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Venkata Yelleswarapu
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Firooz Aflatouni
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. T. Charlie Johnson
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - David Issadore
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Chemical and Biomolecular, University of Pennsylvania, Philadelphia, PA 19104 USA
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2
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Khalifa A, Nasrollahpour M, Nezaratizadeh A, Sha X, Stanaćević M, Sun NX, Cash SS. Fabrication and Assembly Techniques for Sub-mm Battery-Free Epicortical Implants. MICROMACHINES 2023; 14:476. [PMID: 36838175 PMCID: PMC9966084 DOI: 10.3390/mi14020476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/11/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Over the past three decades, we have seen significant advances in the field of wireless implantable medical devices (IMDs) that can interact with the nervous system. To further improve the stability, safety, and distribution of these interfaces, a new class of implantable devices is being developed: single-channel, sub-mm scale, and wireless microelectronic devices. In this research, we describe a new and simple technique for fabricating and assembling a sub-mm, wirelessly powered stimulating implant. The implant consists of an ASIC measuring 900 × 450 × 80 µm3, two PEDOT-coated microelectrodes, an SMD inductor, and a SU-8 coating. The microelectrodes and SMD are directly mounted onto the ASIC. The ultra-small device is powered using electromagnetic (EM) waves in the near-field using a two-coil inductive link and demonstrates a maximum achievable power transfer efficiency (PTE) of 0.17% in the air with a coil separation of 0.5 cm. In vivo experiments conducted on an anesthetized rat verified the efficiency of stimulation.
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Affiliation(s)
- Adam Khalifa
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Mehdi Nasrollahpour
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Ali Nezaratizadeh
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA
| | - Xiao Sha
- Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA
| | - Milutin Stanaćević
- Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA
| | - Nian X. Sun
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Sydney S. Cash
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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3
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Reynolds MF, Cortese AJ, Liu Q, Zheng Z, Wang W, Norris SL, Lee S, Miskin MZ, Molnar AC, Cohen I, McEuen PL. Microscopic robots with onboard digital control. Sci Robot 2022; 7:eabq2296. [PMID: 36129993 DOI: 10.1126/scirobotics.abq2296] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Autonomous robots-systems where mechanical actuators are guided through a series of states by information processing units to perform a predesigned function-are expected to revolutionize everything from health care to transportation. Microscopic robots are poised for a similar revolution in fields from medicine to environmental remediation. A key hurdle to developing these microscopic robots is the integration of information systems, particularly electronics fabricated at commercial foundries, with microactuators. Here, we develop such an integration process and build microscopic robots controlled by onboard complementary metal oxide semiconductor electronics. The resulting autonomous, untethered robots are 100 to 250 micrometers in size, are powered by light, and walk at speeds greater than 10 micrometers per second. In addition, we demonstrate a microscopic robot that can respond to an optical command. This work paves the way for ubiquitous autonomous microscopic robots that perform complex functions, respond to their environments, and communicate with the outside world.
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Affiliation(s)
- Michael F Reynolds
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA
| | - Alejandro J Cortese
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA.,Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
| | - Qingkun Liu
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA
| | - Zhangqi Zheng
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA
| | - Wei Wang
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA.,Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
| | - Samantha L Norris
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA
| | - Sunwoo Lee
- Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
| | - Marc Z Miskin
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Alyosha C Molnar
- Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.,Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, NY, USA
| | - Itai Cohen
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA.,Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, NY, USA
| | - Paul L McEuen
- Laboratory of Atomic and Solid-State Physics, Cornell University, Ithaca, NY, USA.,Kavli Institute at Cornell for Nanoscale Science, Cornell University, Ithaca, NY, USA
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Moncion C, Balachandar L, Venkatakrishnan SB, Volakis JL, Riera Diaz J. Multichannel Wireless Neurosensing System for battery-free monitoring of neuronal activity. Biosens Bioelectron 2022; 213:114455. [PMID: 35738215 DOI: 10.1016/j.bios.2022.114455] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/23/2022] [Accepted: 06/03/2022] [Indexed: 11/02/2022]
Abstract
Electrical activity recordings are critical for evaluating and understanding brain function. We present a novel wireless, implantable, and battery-free device, namely the Wireless Neurosensing System (WiNS), and for the first time, we evaluate multichannel recording capabilities in vivo. For a preliminary evaluation, we performed a benchtop experiment with emulated sinusoidal signals of varying amplitude and frequency, representative of neuronal activity. We later performed and analyzed electrocortical recordings in rats of evoked somatosensory activity in response to three paradigms: hind/fore limb and whisker stimulation. Wired recordings were used for comparison and validation of WiNS. We found that through the channel multiplexing element of WiNS, it is possible to perform multichannel recordings with a maximum sampling rate of ∼10 kHz for a total of eight channels. This sampling rate is appropriate for monitoring the full range of neuronal signals of interest, from low-frequency population recordings of electrocorticography and local field potentials to high-frequency individual neuronal spike recordings. These in vivo experiments demonstrated that the evoked neuronal activity recorded with WiNS is comparable to that recorded with a wired system under identical circumstances. Analysis of critical parameters for interpreting the somatosensory evoked activity showed no statistically significant difference between the parameters obtained by a wired system versus those obtained using WiNS. Therefore, WiNS can match the performance of more invasive recording systems. WiNS is a groundbreaking technology with potential applications throughout neuroscience as it offers a simple alternative to address the pitfalls of battery-powered neuronal implants.
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Affiliation(s)
- Carolina Moncion
- Department of Biomedical Engineering, Florida International University, Miami, FL, 33174, United States
| | - Lakshmini Balachandar
- Department of Biomedical Engineering, Florida International University, Miami, FL, 33174, United States
| | | | - John L Volakis
- Department of Electrical & Computer Engineering, Florida International University, Miami, FL, 33174, United States
| | - Jorge Riera Diaz
- Department of Biomedical Engineering, Florida International University, Miami, FL, 33174, United States.
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Angotzi GN, Giantomasi L, Ribeiro JF, Crepaldi M, Vincenzi M, Zito D, Berdondini L. Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives. Front Neurosci 2022; 16:842265. [PMID: 35557601 PMCID: PMC9086958 DOI: 10.3389/fnins.2022.842265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
Advancements in stem cell technology together with an improved understanding of in vitro organogenesis have enabled new routes that exploit cell-autonomous self-organization responses of adult stem cells (ASCs) and homogenous pluripotent stem cells (PSCs) to grow complex, three-dimensional (3D), mini-organ like structures on demand, the so-called organoids. Conventional optical and electrical neurophysiological techniques to acquire functional data from brain organoids, however, are not adequate for chronic recordings of neural activity from these model systems, and are not ideal approaches for throughput screenings applied to drug discovery. To overcome these issues, new emerging approaches aim at fusing sensing mechanisms and/or actuating artificial devices within organoids. Here we introduce and develop the concept of the Lab-in-Organoid (LIO) technology for in-tissue sensing and actuation within 3D cell aggregates. This challenging technology grounds on the self-aggregation of brain cells and on integrated bioelectronic micro-scale devices to provide an advanced tool for generating 3D biological brain models with in-tissue artificial functionalities adapted for routine, label-free functional measurements and for assay's development. We complete previously reported results on the implementation of the integrated self-standing wireless silicon micro-devices with experiments aiming at investigating the impact on neuronal spheroids of sinusoidal electro-magnetic fields as those required for wireless power and data transmission. Finally, we discuss the technology headway and future perspectives.
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Affiliation(s)
- Gian Nicola Angotzi
- Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - Lidia Giantomasi
- Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - Joao F. Ribeiro
- Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - Marco Crepaldi
- Electronic Design Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - Matteo Vincenzi
- Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - Domenico Zito
- Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
| | - Luca Berdondini
- Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
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Khalifa A, Lee S, Molnar AC, Cash S. Injectable wireless microdevices: challenges and opportunities. Bioelectron Med 2021; 7:19. [PMID: 34937565 PMCID: PMC8697496 DOI: 10.1186/s42234-021-00080-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 11/22/2021] [Indexed: 11/21/2022] Open
Abstract
In the past three decades, we have witnessed unprecedented progress in wireless implantable medical devices that can monitor physiological parameters and interface with the nervous system. These devices are beginning to transform healthcare. To provide an even more stable, safe, effective, and distributed interface, a new class of implantable devices is being developed; injectable wireless microdevices. Thanks to recent advances in micro/nanofabrication techniques and powering/communication methodologies, some wireless implantable devices are now on the scale of dust (< 0.5 mm), enabling their full injection with minimal insertion damage. Here we review state-of-the-art fully injectable microdevices, discuss their injection techniques, and address the current challenges and opportunities for future developments.
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Affiliation(s)
- Adam Khalifa
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sunwoo Lee
- Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
| | | | - Sydney Cash
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Khalifa A, Weigand-Whittier J, Farrar CT, Cash S. Tracking the Migration of Injectable Microdevices in the Rodent Brain Using a 9.4T Magnetic Resonance Imaging Scanner. Front Neurosci 2021; 15:738589. [PMID: 34675768 PMCID: PMC8524135 DOI: 10.3389/fnins.2021.738589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/09/2021] [Indexed: 11/30/2022] Open
Abstract
Wirelessly powered microdevices are being miniaturized to improve safety, longevity, and spatial resolution in a wide range of biomedical applications. Some wireless microdevices have reached a point where they can be injected whole into the central nervous system. However, the state-of-the-art floating microdevices have not yet been tested in chronic brain applications, and there is a growing concern that the implants might migrate through neural tissue over time. Using a 9.4T MRI scanner, we attempt to address the migration question by tracking ultra-small devices injected in different areas of the brain (cortico-subcortical) of rats over 5 months. We demonstrate that injectable microdevices smaller than 0.01 mm3 remain anchored in the brain at the targeted injection site over this time period. Based on CD68 (microglia) and GFAP (astrocytes) immunoreactivity to the microdevice, we hypothesize that glial scar formation is preventing the migration of chronically implanted microdevices in the brain over time.
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Affiliation(s)
- Adam Khalifa
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jonah Weigand-Whittier
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States
| | - Christian T Farrar
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States
| | - Sydney Cash
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Ramezani Z, Seo KJ, Fang H. Hybrid Electrical and Optical Neural Interfaces. JOURNAL OF MICROMECHANICS AND MICROENGINEERING : STRUCTURES, DEVICES, AND SYSTEMS 2021; 31:044002. [PMID: 34177136 PMCID: PMC8232899 DOI: 10.1088/1361-6439/abeb30] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Neural interfaces bridge the nervous system and the outside world by recording and stimulating neurons. Combining electrical and optical modalities in a single, hybrid neural interface system could lead to complementary and powerful new ways to explore the brain. It has gained robust and exciting momentum recently in neuroscience and neural engineering research. Here, we review developments in the past several years aiming to achieve such hybrid electrical and optical microsystem platforms. Specifically, we cover three major categories of technological advances: transparent neuroelectrodes, optical neural fibers with electrodes, and neural probes/grids integrating electrodes and microscale light-emitting diodes. We discuss examples of these probes tailored to combine electrophysiological recording with optical imaging or optical neural stimulation of the brain and possible directions of future innovation.
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Affiliation(s)
| | | | - Hui Fang
- Department of Electrical and Computer Engineering
- Department of Mechanical and Industrial Engineering
- Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, USA
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Tarnavsky Eitan A, Someck S, Zajac M, Socher E, Stark E. Outan: An On-Head System for Driving µLED Arrays Implanted in Freely Moving Mice. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2021; 15:303-313. [PMID: 33760740 DOI: 10.1109/tbcas.2021.3068556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In the intact brain, neural activity can be recorded using sensing electrodes and manipulated using light stimulation. Silicon probes with integrated electrodes and µLEDs enable the detection and control of neural activity using a single implanted device. Miniaturized solutions for recordings from small freely moving animals are commercially available, but stimulation is driven by large, stationary current sources. We designed and fabricated a current source chip and integrated it into a headstage PCB that weighs 1.37 g. The proposed system provides 10-bit resolution current control for 32 channels, driving µLEDs with up to 4.6 V and sourcing up to 0.9 mA at a refresh rate of 5 kHz per channel. When calibrated against a µLED probe, the system allows linear control of light output power, up to 10 µW per µLED. To demonstrate the capabilities of the system, synthetic sequences of neural spiking activity were produced by driving multiple µLEDs implanted in the hippocampal CA1 area of a freely moving mouse. The high spatial, temporal, and amplitude resolution of the system provides a rich variety of stimulation patterns. Combined with commercially available sampling headstages, the system provides an easy to use back-end, fully utilizing the bi-directional potential of integrated opto-electronic arrays.
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Cai L, Gutruf P. Soft, Wireless and subdermally implantable recording and neuromodulation tools. J Neural Eng 2021; 18. [PMID: 33607646 DOI: 10.1088/1741-2552/abe805] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 02/19/2021] [Indexed: 12/14/2022]
Abstract
Progress in understanding neuronal interaction and circuit behavior of the central and peripheral nervous system strongly relies on the advancement of tools that record and stimulate with high fidelity and specificity. Currently, devices used in exploratory research predominantly utilize cables or tethers to provide pathways for power supply, data communication, stimulus delivery and recording, which constrains the scope and use of such devices. In particular, the tethered connection, mechanical mismatch to surrounding soft tissues and bones frustrate the interface leading to irritation and limitation of motion of the subject, which in the case of fundamental and preclinical studies, impacts naturalistic behaviors of animals and precludes the use in experiments involving social interaction and ethologically relevant three-dimensional environments, limiting the use of current tools to mostly rodents and exclude species such as birds and fish. This review explores the current state-of-the-art in wireless, subdermally implantable tools that quantitively expand capabilities in analysis and perturbation of the central and peripheral nervous system by removing tethers and externalized features of implantable neuromodulation and recording tools. Specifically, the review explores power harvesting strategies, wireless communication schemes, and soft materials and mechanics that enable the creation of such devices and discuss their capabilities in the context of freely-behaving subjects. Highlights of this class of devices includes wireless battery-free and fully implantable operation with capabilities in cell specific recording, multimodal neural stimulation and electrical, optogenetic and pharmacological neuromodulation capabilities. We conclude with discussion on translation of such technologies which promises routes towards broad dissemination.
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Affiliation(s)
- Le Cai
- Biomedical Engineering, University of Arizona, 1230 N Cherry Ave., Tucson, Arizona, 85719, UNITED STATES
| | - Philipp Gutruf
- Biomedical Engineering, University of Arizona, 1230 N Cherry Ave., Tucson, Arizona, 85719, UNITED STATES
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