1
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Shin H, Nam MH, Lee SE, Yang SH, Yang E, Jung JT, Kim H, Woo J, Cho Y, Yoon Y, Cho IJ. Transcranial optogenetic brain modulator for precise bimodal neuromodulation in multiple brain regions. Nat Commun 2024; 15:10423. [PMID: 39613730 DOI: 10.1038/s41467-024-54759-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 11/18/2024] [Indexed: 12/01/2024] Open
Abstract
Transcranial brain stimulation is a promising technology for safe modulation of brain function without invasive procedures. Recent advances in transcranial optogenetic techniques with external light sources, using upconversion particles and highly sensitive opsins, have shown promise for precise neuromodulation with improved spatial resolution in deeper brain regions. However, these methods have not yet been used to selectively excite or inhibit specific neural populations in multiple brain regions. In this study, we created a wireless transcranial optogenetic brain modulator that combines highly sensitive opsins and upconversion particles and allows for precise bimodal neuromodulation of multiple brain regions without optical crosstalk. We demonstrate the feasibility of our approach in freely behaving mice. Furthermore, we demonstrate its usefulness in studies of complex behaviors and brain dysfunction by controlling extorting behavior in mice in food competition tests and alleviating the symptoms of Parkinson's disease. Our approach has potential applications in the study of neural circuits and development of treatments for various brain disorders.
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Affiliation(s)
- Hyogeun Shin
- School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, Republic of Korea
| | - Min-Ho Nam
- Center for Brain Function, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Seung Eun Lee
- Research Animal Resources Center, Research Resources Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Soo Hyun Yang
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Esther Yang
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Jin Taek Jung
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Hyun Kim
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Jiwan Woo
- Research Animal Resources Center, Research Resources Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Yakdol Cho
- Research Animal Resources Center, Research Resources Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Youngsam Yoon
- Department of Electrical Engineering, Korea Military Academy, Seoul, Republic of Korea
| | - Il-Joo Cho
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea.
- Department of Anatomy, College of Medicine, Korea University, Seoul, Republic of Korea.
- Department of Convergence Medicine, College of Medicine, Korea University, Seoul, Republic of Korea.
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2
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Wang S, Jiang Q, Liu H, Yu C, Li P, Pan G, Xu K, Xiao R, Hao Y, Wang C, Song J. Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings. Proc Natl Acad Sci U S A 2024; 121:e2403380121. [PMID: 39331412 PMCID: PMC11459173 DOI: 10.1073/pnas.2403380121] [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: 02/17/2024] [Accepted: 09/03/2024] [Indexed: 09/28/2024] Open
Abstract
Flexible intracortical probes offer important opportunities for stable neural interfaces by reducing chronic immune responses, but their advances usually come with challenges of difficult implantation and limited recording span. Here, we reported a mechanically adaptive and deployable intracortical probe, which features a foldable fishbone-like structural design with branching electrodes on a temperature-responsive shape memory polymer (SMP) substrate. Leveraging the temperature-triggered soft-rigid phase transition and shape memory characteristic of SMP, this probe design enables direct insertion into brain tissue with minimal footprint in a folded configuration while automatically softening to reduce mechanical mismatches with brain tissue and deploying electrodes to a broader recording span under physiological conditions. Experimental and numerical studies on the material softening and structural folding-deploying behaviors provide insights into the design, fabrication, and operation of the intracortical probes. The chronically implanted neural probe in the rat cortex demonstrates that the proposed neural probe can reliably detect and track individual units for months with stable impedance and signal amplitude during long-term implantation. The work provides a tool for stable neural activity recording and creates engineering opportunities in basic neuroscience and clinical applications.
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Affiliation(s)
- Suhao Wang
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
- Nanhu Brain-Computer Interface Institute, Hangzhou311100, China
- State Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou310027, China
| | - Qianqian Jiang
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
| | - Hang Liu
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
| | - Chaonan Yu
- Nanhu Brain-Computer Interface Institute, Hangzhou311100, China
| | - Pengxian Li
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
| | - Gang Pan
- State Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou310027, China
- College of Computer Science and Technology, Zhejiang University, Hangzhou310027, China
| | - Kedi Xu
- Nanhu Brain-Computer Interface Institute, Hangzhou311100, China
- State Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou310027, China
- Department of Biomedical Engineering, Qiushi Academy for Advanced Studies, Key Laboratory of Biomedical Engineering of Education Ministry, and Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou310027, China
| | - Rui Xiao
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
| | - Yaoyao Hao
- Nanhu Brain-Computer Interface Institute, Hangzhou311100, China
- State Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou310027, China
- Department of Biomedical Engineering, Qiushi Academy for Advanced Studies, Key Laboratory of Biomedical Engineering of Education Ministry, and Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou310027, China
| | | | - Jizhou Song
- Department of Engineering Mechanics, Soft Matter Research Center, and Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou310027, China
- Nanhu Brain-Computer Interface Institute, Hangzhou311100, China
- State Key Laboratory of Brain Machine Intelligence, Zhejiang University, Hangzhou310027, China
- Huanjiang Lab, Zhuji311800, China
- Department of Rehabilitation Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou310003, China
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3
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Huang Y, Li G, Bai T, Shin Y, Wang X, More AI, Boucher P, Chandrasekaran C, Liu J, Fang H. Flexible electronic-photonic 3D integration from ultrathin polymer chiplets. NPJ FLEXIBLE ELECTRONICS 2024; 8:61. [PMID: 39780990 PMCID: PMC11709425 DOI: 10.1038/s41528-024-00344-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 08/27/2024] [Indexed: 01/11/2025]
Abstract
The integration of flexible electronics and photonics has the potential to create revolutionary technologies, yet it has been challenging to marry electronic and photonic components on a single polymer device, especially through high-volume manufacturing. Here, we present a robust, chiplet-level heterogeneous integration of polymer-based circuits (CHIP), where several post-fabricated, ultrathin, polymer electronic, and optoelectronic chiplets are vertically bonded into one single chip at room temperature and then shaped into application-specific form factors with monolithic Input/Output (I/O). As a demonstration, we applied this process and developed a flexible 3D-integrated optrode with high-density arrays of microelectrodes for electrical recording and micro light-emitting diodes (μLEDs) for optogenetic stimulation while with unprecedented integration of additional temperature sensors for bio-safe operations and shielding designs for optoelectronic artifact prevention. Besides achieving simple, high-yield, and scalable 3D integration of much-needed functionalities, CHIP also enables double-sided area utilization and miniaturization of connection I/O. Systematic device characterization demonstrated the successfulness of this scheme and also revealed frequency-dependent origins of optoelectronic artifacts in flexible 3D-integrated optrodes. In addition to enabling excellent manufacturability and scalability, we envision CHIP to be generally applicable to numerous polymer-based devices to achieve wide-ranging applications.
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Affiliation(s)
- Yunxiang Huang
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Gen Li
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Tianyu Bai
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Yieljae Shin
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Xiaoxin Wang
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Alexander Ian More
- Department of Psychological and Brain Sciences, Boston University, MA, 02118, USA
| | - Pierre Boucher
- Department of Psychological and Brain Sciences, Boston University, MA, 02118, USA
| | | | - Jifeng Liu
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Hui Fang
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
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4
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Li L, Zhang B, Zhao W, Sheng D, Yin L, Sheng X, Yao D. Multimodal Technologies for Closed-Loop Neural Modulation and Sensing. Adv Healthc Mater 2024; 13:e2303289. [PMID: 38640468 DOI: 10.1002/adhm.202303289] [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: 09/27/2023] [Revised: 03/11/2024] [Indexed: 04/21/2024]
Abstract
Existing methods for studying neural circuits and treating neurological disorders are typically based on physical and chemical cues to manipulate and record neural activities. These approaches often involve predefined, rigid, and unchangeable signal patterns, which cannot be adjusted in real time according to the patient's condition or neural activities. With the continuous development of neural interfaces, conducting in vivo research on adaptive and modifiable treatments for neurological diseases and neural circuits is now possible. In this review, current and potential integration of various modalities to achieve precise, closed-loop modulation, and sensing in neural systems are summarized. Advanced materials, devices, or systems that generate or detect electrical, magnetic, optical, acoustic, or chemical signals are highlighted and utilized to interact with neural cells, tissues, and networks for closed-loop interrogation. Further, the significance of developing closed-loop techniques for diagnostics and treatment of neurological disorders such as epilepsy, depression, rehabilitation of spinal cord injury patients, and exploration of brain neural circuit functionality is elaborated.
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Affiliation(s)
- Lizhu Li
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Bozhen Zhang
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Wenxin Zhao
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - David Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Dezhong Yao
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
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5
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Ivanovski F, Meško M, Lebar T, Rupnik M, Lainšček D, Gradišek M, Jerala R, Benčina M. Ultrasound-mediated spatial and temporal control of engineered cells in vivo. Nat Commun 2024; 15:7369. [PMID: 39191796 DOI: 10.1038/s41467-024-51620-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 08/13/2024] [Indexed: 08/29/2024] Open
Abstract
Remote regulation of cells in deep tissue remains a significant challenge. Low-intensity pulsed ultrasound offers promise for in vivo therapies due to its non-invasive nature and precise control. This study uses pulsed ultrasound to control calcium influx in mammalian cells and engineers a therapeutic cellular device responsive to acoustic stimulation in deep tissue without overexpressing calcium channels or gas vesicles. Pulsed ultrasound parameters are established to induce calcium influx in HEK293 cells. Additionally, cells are engineered to express a designed calcium-responsive transcription factor controlling the expression of a selected therapeutic gene, constituting a therapeutic cellular device. The engineered sonogenetic system's functionality is demonstrated in vivo in mice, where an implanted anti-inflammatory cytokine-producing cellular device effectively alleviates acute colitis, as shown by improved colonic morphology and histopathology. This approach provides a powerful tool for precise, localized control of engineered cells in deep tissue, showcasing its potential for targeted therapeutic delivery.
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Affiliation(s)
- Filip Ivanovski
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia
- Interfaculty Doctoral Study of Biomedicine, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
| | - Maja Meško
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia
| | - Tina Lebar
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia
| | - Marko Rupnik
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia
| | - Duško Lainšček
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia
| | - Miha Gradišek
- Faculty of Electrical Engineering, University of Ljubljana, Tržaška c. 25, Ljubljana, Slovenia
| | - Roman Jerala
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia.
- CTGCT, Centre of Technology of Gene and Cell Therapy, Hajdrihova 19, Ljubljana, Slovenia.
| | - Mojca Benčina
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia.
- CTGCT, Centre of Technology of Gene and Cell Therapy, Hajdrihova 19, Ljubljana, Slovenia.
- University of Ljubljana, Kongresni trg 12, 1000, Ljubljana, Slovenia.
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6
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024; 13:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [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: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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7
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Fu X, Hu Z, Li W, Ma L, Chen J, Liu M, Liu J, Hu S, Wang H, Huang Y, Tang G, Zhang B, Cai X, Wang Y, Li L, Ma J, Shi SH, Yin L, Zhang H, Li X, Sheng X. A silicon diode-based optoelectronic interface for bidirectional neural modulation. Proc Natl Acad Sci U S A 2024; 121:e2404164121. [PMID: 39012823 PMCID: PMC11287284 DOI: 10.1073/pnas.2404164121] [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: 02/28/2024] [Accepted: 06/13/2024] [Indexed: 07/18/2024] Open
Abstract
The development of advanced neural modulation techniques is crucial to neuroscience research and neuroengineering applications. Recently, optical-based, nongenetic modulation approaches have been actively investigated to remotely interrogate the nervous system with high precision. Here, we show that a thin-film, silicon (Si)-based diode device is capable to bidirectionally regulate in vitro and in vivo neural activities upon adjusted illumination. When exposed to high-power and short-pulsed light, the Si diode generates photothermal effects, evoking neuron depolarization and enhancing intracellular calcium dynamics. Conversely, low-power and long-pulsed light on the Si diode hyperpolarizes neurons and reduces calcium activities. Furthermore, the Si diode film mounted on the brain of living mice can activate or suppress cortical activities under varied irradiation conditions. The presented material and device strategies reveal an innovated optoelectronic interface for precise neural modulations.
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Affiliation(s)
- Xin Fu
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
- School of Materials Science and Engineering, Key Laboratory of Advanced Materials (Ministry of Education), State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing100084, China
| | - Zhengwei Hu
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Wenjun Li
- Department of Chemistry, Center for Bioanalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing100084, China
| | - Liang Ma
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Junyu Chen
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Muyang Liu
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Jie Liu
- School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Shuhan Hu
- School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Huachun Wang
- School of Integrated Circuits, Shenzhen Campus of Sun Yat-sen University, Shenzhen518107, China
| | - Yunxiang Huang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
- School of Materials Science and Engineering, Key Laboratory of Advanced Materials (Ministry of Education), State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing100084, China
| | - Guo Tang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Bozhen Zhang
- School of Materials Science and Engineering, Key Laboratory of Advanced Materials (Ministry of Education), State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing100084, China
| | - Xue Cai
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Yuqi Wang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Lizhu Li
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Jian Ma
- School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Song-Hai Shi
- School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Lan Yin
- School of Materials Science and Engineering, Key Laboratory of Advanced Materials (Ministry of Education), State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing100084, China
| | - Hao Zhang
- Department of Chemistry, Center for Bioanalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing100084, China
| | - Xiaojian Li
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Laboratory of Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
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8
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Latypova AA, Yaremenko AV, Pechnikova NA, Minin AS, Zubarev IV. Magnetogenetics as a promising tool for controlling cellular signaling pathways. J Nanobiotechnology 2024; 22:327. [PMID: 38858689 PMCID: PMC11163773 DOI: 10.1186/s12951-024-02616-z] [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: 03/28/2024] [Accepted: 06/04/2024] [Indexed: 06/12/2024] Open
Abstract
Magnetogenetics emerges as a transformative approach for modulating cellular signaling pathways through the strategic application of magnetic fields and nanoparticles. This technique leverages the unique properties of magnetic nanoparticles (MNPs) to induce mechanical or thermal stimuli within cells, facilitating the activation of mechano- and thermosensitive proteins without the need for traditional ligand-receptor interactions. Unlike traditional modalities that often require invasive interventions and lack precision in targeting specific cellular functions, magnetogenetics offers a non-invasive alternative with the capacity for deep tissue penetration and the potential for targeting a broad spectrum of cellular processes. This review underscores magnetogenetics' broad applicability, from steering stem cell differentiation to manipulating neuronal activity and immune responses, highlighting its potential in regenerative medicine, neuroscience, and cancer therapy. Furthermore, the review explores the challenges and future directions of magnetogenetics, including the development of genetically programmed magnetic nanoparticles and the integration of magnetic field-sensitive cells for in vivo applications. Magnetogenetics stands at the forefront of cellular manipulation technologies, offering novel insights into cellular signaling and opening new avenues for therapeutic interventions.
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Affiliation(s)
- Anastasiia A Latypova
- Institute of Future Biophysics, Dolgoprudny, 141701, Russia
- Moscow Center for Advanced Studies, Moscow, 123592, Russia
| | - Alexey V Yaremenko
- Center for Nanomedicine and Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece.
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, 117997, Russia.
| | - Nadezhda A Pechnikova
- Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
- Saint Petersburg Pasteur Institute, Saint Petersburg, 197101, Russia
| | - Artem S Minin
- M.N. Mikheev Institute of Metal Physics of the Ural Branch of the Russian Academy of Sciences, Yekaterinburg, 620108, Russia
| | - Ilya V Zubarev
- Institute of Future Biophysics, Dolgoprudny, 141701, Russia.
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9
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Sun P, Li C, Yang C, Sun M, Hou H, Guan Y, Chen J, Liu S, Chen K, Ma Y, Huang Y, Li X, Wang H, Wang L, Chen S, Cheng H, Xiong W, Sheng X, Zhang M, Peng J, Wang S, Wang Y, Yin L. A biodegradable and flexible neural interface for transdermal optoelectronic modulation and regeneration of peripheral nerves. Nat Commun 2024; 15:4721. [PMID: 38830884 PMCID: PMC11148186 DOI: 10.1038/s41467-024-49166-4] [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: 08/02/2023] [Accepted: 05/23/2024] [Indexed: 06/05/2024] Open
Abstract
Optoelectronic neural interfaces can leverage the photovoltaic effect to convert light into electrical current, inducing charge redistribution and enabling nerve stimulation. This method offers a non-genetic and remote approach for neuromodulation. Developing biodegradable and efficient optoelectronic neural interfaces is important for achieving transdermal stimulation while minimizing infection risks associated with device retrieval, thereby maximizing therapeutic outcomes. We propose a biodegradable, flexible, and miniaturized silicon-based neural interface capable of transdermal optoelectronic stimulation for neural modulation and nerve regeneration. Enhancing the device interface with thin-film molybdenum significantly improves the efficacy of neural stimulation. Our study demonstrates successful activation of the sciatic nerve in rodents and the facial nerve in rabbits. Moreover, transdermal optoelectronic stimulation accelerates the functional recovery of injured facial nerves.
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Affiliation(s)
- Pengcheng Sun
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Chaochao Li
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
| | - Can Yang
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Mengchun Sun
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
| | - Hanqing Hou
- School of Life Sciences, Tsinghua University, Beijing, 100084, P. R. China
| | - Yanjun Guan
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
| | - Jinger Chen
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Shangbin Liu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Kuntao Chen
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
| | - Yuan Ma
- Department of Electronic Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Yunxiang Huang
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA
| | - Xiangling Li
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
- Department of Rehabilitation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P. R. China
| | - Huachun Wang
- School of Integrated Circuits, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P. R. China
| | - Liu Wang
- School of Biological Science and Medical Engineering, Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100083, P. R. China
- School of Engineering Medicine, Beihang University, Beijing, 100083, P. R. China
| | - Shengfeng Chen
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
| | - Haofeng Cheng
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
| | - Wei Xiong
- Chinese Institute for Brain Research, Beijing, 102206, P. R. China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China
- Institute for Precision Medicine, Tsinghua University, Beijing, 100084, P. R. China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, P. R. China
| | - Milin Zhang
- Department of Electronic Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Jiang Peng
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, 226007, P. R. China
| | - Shirong Wang
- MegaRobo Technologies Co. ltd, Beijing, 100085, P. R. China.
| | - Yu Wang
- Institute of Orthopedics, Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma and Injuries PLA, No. 28 Fuxing Road, Beijing, 100853, P. R. China.
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, 226007, P. R. China.
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, 100084, P. R. China.
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10
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Ling W, Shang X, Yu C, Li C, Xu K, Feng L, Wei Y, Tang T, Huang X. Miniaturized Implantable Fluorescence Probes Integrated with Metal-Organic Frameworks for Deep Brain Dopamine Sensing. ACS NANO 2024; 18:10596-10608. [PMID: 38557034 DOI: 10.1021/acsnano.4c00632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Continuously monitoring neurotransmitter dynamics can offer profound insights into neural mechanisms and the etiology of neurological diseases. Here, we present a miniaturized implantable fluorescence probe integrated with metal-organic frameworks (MOFs) for deep brain dopamine sensing. The probe is assembled from physically thinned light-emitting diodes (LEDs) and phototransistors, along with functional surface coatings, resulting in a total thickness of 120 μm. A fluorescent MOF that specifically binds dopamine is introduced, enabling a highly sensitive dopamine measurement with a detection limit of 79.9 nM. A compact wireless circuit weighing only 0.85 g is also developed and interfaced with the probe, which was later applied to continuously monitor real-time dopamine levels during deep brain stimulation in rats, providing critical information on neurotransmitter dynamics. Cytotoxicity tests and immunofluorescence analysis further suggest a favorable biocompatibility of the probe for implantable applications. This work presents fundamental principles and techniques for integrating fluorescent MOFs and flexible electronics for brain-computer interfaces and may provide more customized platforms for applications in neuroscience, disease tracing, and smart diagnostics.
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Affiliation(s)
- Wei Ling
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
| | - Xue Shang
- Research Center for Intelligent Sensing Systems, Research Institute of Intelligent Sensing, Zhejiang Lab, Hangzhou 311121, China
| | - Chaonan Yu
- Nanhu Brain-computer Interface Institute, Hangzhou 311100, China
| | - Chenxi Li
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China
| | - Kedi Xu
- Nanhu Brain-computer Interface Institute, Hangzhou 311100, China
- Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Linqing Feng
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Yina Wei
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Tao Tang
- Research Center for Augmented Intelligence, Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Xian Huang
- School of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, 92 Weijin Road, Tianjin 300072, China
- Center of Flexible Wearable Technology, Institute of Flexible Electronic Technology of Tsinghua, 906 Yatai Road, Jiaxing 314006, China
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11
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Chang S, Koo JH, Yoo J, Kim MS, Choi MK, Kim DH, Song YM. Flexible and Stretchable Light-Emitting Diodes and Photodetectors for Human-Centric Optoelectronics. Chem Rev 2024; 124:768-859. [PMID: 38241488 DOI: 10.1021/acs.chemrev.3c00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Optoelectronic devices with unconventional form factors, such as flexible and stretchable light-emitting or photoresponsive devices, are core elements for the next-generation human-centric optoelectronics. For instance, these deformable devices can be utilized as closely fitted wearable sensors to acquire precise biosignals that are subsequently uploaded to the cloud for immediate examination and diagnosis, and also can be used for vision systems for human-interactive robotics. Their inception was propelled by breakthroughs in novel optoelectronic material technologies and device blueprinting methodologies, endowing flexibility and mechanical resilience to conventional rigid optoelectronic devices. This paper reviews the advancements in such soft optoelectronic device technologies, honing in on various materials, manufacturing techniques, and device design strategies. We will first highlight the general approaches for flexible and stretchable device fabrication, including the appropriate material selection for the substrate, electrodes, and insulation layers. We will then focus on the materials for flexible and stretchable light-emitting diodes, their device integration strategies, and representative application examples. Next, we will move on to the materials for flexible and stretchable photodetectors, highlighting the state-of-the-art materials and device fabrication methods, followed by their representative application examples. At the end, a brief summary will be given, and the potential challenges for further development of functional devices will be discussed as a conclusion.
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Affiliation(s)
- Sehui Chang
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Ja Hoon Koo
- Department of Semiconductor Systems Engineering, Sejong University, Seoul 05006, Republic of Korea
- Institute of Semiconductor and System IC, Sejong University, Seoul 05006, Republic of Korea
| | - Jisu Yoo
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Min Seok Kim
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
| | - Moon Kee Choi
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Graduate School of Semiconductor Materials and Devices Engineering, Center for Future Semiconductor Technology (FUST), UNIST, Ulsan 44919, Republic of Korea
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
| | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University (SNU), Seoul 08826, Republic of Korea
- Department of Materials Science and Engineering, SNU, Seoul 08826, Republic of Korea
- Interdisciplinary Program for Bioengineering, SNU, Seoul 08826, Republic of Korea
| | - Young Min Song
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
- Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
- Artificial Intelligence (AI) Graduate School, GIST, Gwangju 61005, Republic of Korea
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12
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Yan M, Wang L, Wu Y, Liao X, Zhong C, Wang L, Lu Y. Conducting Polymer-Hydrogel Interpenetrating Networks for Improving the Electrode-Neural Interface. ACS APPLIED MATERIALS & INTERFACES 2023; 15:41310-41323. [PMID: 37590473 DOI: 10.1021/acsami.3c07189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Implantable neural microelectrodes are recognized as a bridge for information exchange between inner organisms and outer devices. Combined with novel modulation technologies such as optogenetics, it offers a highly precise methodology for the dissection of brain functions. However, achieving chronically effective and stable microelectrodes to explore the electrophysiological characteristics of specific neurons in free-behaving animals continually poses great challenges. To resolve this, poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)/poly(vinyl alcohol) (PEDOT/PSS/PVA) interpenetrating conducting polymer networks (ICPN) are fabricated via a hydrogel scaffold precoating and electrochemical polymerization process to improve the performance of neural microelectrodes. The ICPN films exhibit robust interfacial adhesion, a significantly lower electrochemical impedance, superior mechanical properties, and improved electrochemical stability compared to the pure poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)(PEDOT/PSS) films, which may be attributed to the three-dimensional (3D) porous microstructure of the ICPN. Hippocampal neurons and rat pheochromocytoma cells (PC12 cells) adhesion on ICPN and neurite outgrowth are observed, indicating enhanced biocompatibility. Furthermore, alleviated tissue response at the electrode-neural tissue interface and improved recording signal quality are confirmed by histological and electrophysiological studies, respectively. Owing to these merits, optogenetic modulations and electrophysiological recordings are performed in vivo, and an anxiolytic effect of hippocampal glutamatergic neurons on behavior is shown. This study demonstrates the effectiveness and advantages of ICPN-modified neural implants for in vivo applications.
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Affiliation(s)
- Mengying Yan
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Lulu Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yiyong Wu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Xin Liao
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Cheng Zhong
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Liping Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yi Lu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
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13
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Kumar V, Kymissis I. MicroLED/LED electro-optical integration techniques for non-display applications. APPLIED PHYSICS REVIEWS 2023; 10:021306. [PMID: 37265477 PMCID: PMC10155219 DOI: 10.1063/5.0125103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 03/20/2023] [Indexed: 06/03/2023]
Abstract
MicroLEDs offer an extraordinary combination of high luminance, high energy efficiency, low cost, and long lifetime. These characteristics are highly desirable in various applications, but their usage has, to date, been primarily focused toward next-generation display technologies. Applications of microLEDs in other technologies, such as projector systems, computational imaging, communication systems, or neural stimulation, have been limited. In non-display applications which use microLEDs as light sources, modifications in key electrical and optical characteristics such as external efficiency, output beam shape, modulation bandwidth, light output power, and emission wavelengths are often needed for optimum performance. A number of advanced fabrication and processing techniques have been used to achieve these electro-optical characteristics in microLEDs. In this article, we review the non-display application areas of the microLEDs, the distinct opto-electrical characteristics required for these applications, and techniques that integrate the optical and electrical components on the microLEDs to improve system-level efficacy and performance.
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Affiliation(s)
- V. Kumar
- Department of Electrical Engineering, Columbia University, New York, New York 10027, USA
| | - I. Kymissis
- Department of Electrical Engineering, Columbia University, New York, New York 10027, USA
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14
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Rindner DJ, Lur G. Practical considerations in an era of multicolor optogenetics. Front Cell Neurosci 2023; 17:1160245. [PMID: 37293628 PMCID: PMC10244638 DOI: 10.3389/fncel.2023.1160245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/05/2023] [Indexed: 06/10/2023] Open
Abstract
The ability to control synaptic communication is indispensable to modern neuroscience. Until recently, only single-pathway manipulations were possible due to limited availability of opsins activated by distinct wavelengths. However, extensive protein engineering and screening efforts have drastically expanded the optogenetic toolkit, ushering in an era of multicolor approaches for studying neural circuits. Nonetheless, opsins with truly discrete spectra are scarce. Experimenters must therefore take care to avoid unintended cross-activation of optogenetic tools (crosstalk). Here, we demonstrate the multidimensional nature of crosstalk in a single model synaptic pathway, testing stimulus wavelength, irradiance, duration, and opsin choice. We then propose a "lookup table" method for maximizing the dynamic range of opsin responses on an experiment-by-experiment basis.
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Affiliation(s)
| | - Gyorgy Lur
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
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15
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Sun F, Shen H, Yang Q, Yuan Z, Chen Y, Guo W, Wang Y, Yang L, Bai Z, Liu Q, Jiang M, Lam JWY, Sun J, Ye R, Kwok RTK, Tang BZ. Dual Behavior Regulation: Tether-Free Deep-Brain Stimulation by Photothermal and Upconversion Hybrid Nanoparticles. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210018. [PMID: 36864009 DOI: 10.1002/adma.202210018] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 02/26/2023] [Indexed: 05/26/2023]
Abstract
Optogenetics has been plagued by invasive brain implants and thermal effects during photo-modulation. Here, two upconversion hybrid nanoparticles modified with photothermal agents, named PT-UCNP-B/G, which can modulate neuronal activities via photostimulation and thermo-stimulation under near-infrared laser irradiation at 980 nm and 808 nm, respectively, are demonstrated. PT-UCNP-B/G emits visible light (410-500 nm or 500-570 nm) through the upconversion process at 980 nm, while they exhibit efficient photothermal effect at 808 nm with no visible emission and tissue damage. Intriguingly, PT-UCNP-B significantly activates extracellular sodium currents in neuro2a cells expressing light-gated channelrhodopsin-2 (ChR2) ion channels under 980-nm irradiation, and inhibits potassium currents in human embryonic kidney 293 cells expressing the voltage-gated potassium channels (KCNQ1) under 808-nm irradiation in vitro. Furthermore, deep-brain bidirectional modulation of feeding behavior is achieved under tether-free 980 or 808-nm illumination (0.8 W cm-2 ) in mice stereotactically injected with PT-UCNP-B in the ChR2-expressing lateral hypothalamus region. Thus, PT-UCNP-B/G creates new possibility of utilizing both light and heat to modulate neural activities and provides a viable strategy to overcome the limits of optogenetics.
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Affiliation(s)
- Feiyi Sun
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Hanchen Shen
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Qinghu Yang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Zhaoyue Yuan
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Yuyang Chen
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Weihua Guo
- Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Yu Wang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Liang Yang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Zhantao Bai
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Qingqing Liu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, 999077, P. R. China
| | - Ming Jiang
- College of Life Science & Research Center for Natural Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, 716000, P. R. China
| | - Jacky W Y Lam
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Jianwei Sun
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Ruquan Ye
- Department of Chemistry, State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, 999077, P. R. China
| | - Ryan T K Kwok
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
| | - Ben Zhong Tang
- Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science & Technology, Kowloon, Hong Kong, 999077, P. R. China
- School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, 518172, P. R. China
- Center of Aggregation-Induced Emission, South China University of Technology, Guangzhou, 510640, P. R. China
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16
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Wang H, Tian J, Jiang Y, Liu S, Zheng J, Li N, Wang G, Dong F, Chen J, Xie Y, Huang Y, Cai X, Wang X, Xiong W, Qi H, Yin L, Wang Y, Sheng X. A 3D biomimetic optoelectronic scaffold repairs cranial defects. SCIENCE ADVANCES 2023; 9:eabq7750. [PMID: 36791200 PMCID: PMC9931229 DOI: 10.1126/sciadv.abq7750] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
Bone fractures and defects pose serious health-related issues on patients. For clinical therapeutics, synthetic scaffolds have been actively explored to promote critical-sized bone regeneration, and electrical stimulations are recognized as an effective auxiliary to facilitate the process. Here, we develop a three-dimensional (3D) biomimetic scaffold integrated with thin-film silicon (Si)-based microstructures. This Si-based hybrid scaffold not only provides a 3D hierarchical structure for guiding cell growth but also regulates cell behaviors via photo-induced electrical signals. Remotely controlled by infrared illumination, these Si structures electrically modulate membrane potentials and intracellular calcium dynamics of stem cells and potentiate cell proliferation and differentiation. In a rodent model, the Si-integrated scaffold demonstrates improved osteogenesis under optical stimulations. Such a wirelessly powered optoelectronic scaffold eliminates tethered electrical implants and fully degrades in a biological environment. The Si-based 3D scaffold combines topographical and optoelectronic stimuli for effective biological modulations, offering broad potential for biomedicine.
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Affiliation(s)
- Huachun Wang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Jingjing Tian
- Department of Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yuxi Jiang
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100082, China
| | - Shuang Liu
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jingchuan Zheng
- School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Ningyu Li
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100082, China
| | - Guiyan Wang
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100082, China
| | - Fan Dong
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100082, China
| | - Junyu Chen
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Yang Xie
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Yunxiang Huang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Xue Cai
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
| | - Xiumei Wang
- School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Wei Xiong
- School of Life Sciences, Tsinghua University, Beijing 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
| | - Hui Qi
- Beijing Research Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing 100035, China
| | - Lan Yin
- School of Materials Science and Engineering, State Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Yuguang Wang
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100082, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China
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17
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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: 27] [Impact Index Per Article: 9.0] [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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18
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Huang Y, Cui Y, Deng H, Wang J, Hong R, Hu S, Hou H, Dong Y, Wang H, Chen J, Li L, Xie Y, Sun P, Fu X, Yin L, Xiong W, Shi SH, Luo M, Wang S, Li X, Sheng X. Bioresorbable thin-film silicon diodes for the optoelectronic excitation and inhibition of neural activities. Nat Biomed Eng 2022; 7:486-498. [PMID: 36065014 DOI: 10.1038/s41551-022-00931-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 07/25/2022] [Indexed: 11/09/2022]
Abstract
Neural activities can be modulated by leveraging light-responsive nanomaterials as interfaces for exerting photothermal, photoelectrochemical or photocapacitive effects on neurons or neural tissues. Here we show that bioresorbable thin-film monocrystalline silicon pn diodes can be used to optoelectronically excite or inhibit neural activities by establishing polarity-dependent positive or negative photovoltages at the semiconductor/solution interface. Under laser illumination, the silicon-diode optoelectronic interfaces allowed for the deterministic depolarization or hyperpolarization of cultured neurons as well as the upregulated or downregulated intracellular calcium dynamics. The optoelectronic interfaces can also be mounted on nerve tissue to activate or silence neural activities in peripheral and central nervous tissues, as we show in mice with exposed sciatic nerves and somatosensory cortices. Bioresorbable silicon-based optoelectronic thin films that selectively excite or inhibit neural tissue may find advantageous biomedical applicability.
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Affiliation(s)
- Yunxiang Huang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.,School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China.,IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Yuting Cui
- Chinese Institute for Brain Research, Beijing, China.,National Institute of Biological Sciences, Beijing, China
| | - Hanjie Deng
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Jingjing Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Rongqi Hong
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Shuhan Hu
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Hanqing Hou
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Yuanrui Dong
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Huachun Wang
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Junyu Chen
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Lizhu Li
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Yang Xie
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Pengcheng Sun
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Xin Fu
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China
| | - Wei Xiong
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Song-Hai Shi
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Minmin Luo
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,National Institute of Biological Sciences, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Shirong Wang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China.
| | - Xiaojian Li
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China.
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, Tsinghua University, Beijing, China. .,IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
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19
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Abstract
Until recently laboratory tasks for studying behavior were highly artificial, simplified, and designed without consideration for the environmental or social context. Although such an approach offers good control over behavior, it does not allow for researching either voluntary responses or individual differences. Importantly for neuroscience studies, the activity of the neural circuits involved in producing unnatural, artificial behavior is variable and hard to predict. In addition, different ensembles may be activated depending on the strategy the animal adopts to deal with the spurious problem. Thus, artificial and simplified tasks based on responses, which do not occur spontaneously entail problems with modeling behavioral impairments and underlying brain deficits. To develop valid models of human disorders we need to test spontaneous behaviors consistently engaging well-defined, evolutionarily conserved neuronal circuits. Such research focuses on behavioral patterns relevant for surviving and thriving under varying environmental conditions, which also enable high reproducibility across different testing settings.
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Affiliation(s)
- Alicja Puścian
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
| | - Ewelina Knapska
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
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20
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Zhang H, Peng Y, Zhang N, Yang J, Wang Y, Ding H. Emerging Optoelectronic Devices Based on Microscale LEDs and Their Use as Implantable Biomedical Applications. MICROMACHINES 2022; 13:mi13071069. [PMID: 35888886 PMCID: PMC9323269 DOI: 10.3390/mi13071069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 02/05/2023]
Abstract
Thin-film microscale light-emitting diodes (LEDs) are efficient light sources and their integrated applications offer robust capabilities and potential strategies in biomedical science. By leveraging innovations in the design of optoelectronic semiconductor structures, advanced fabrication techniques, biocompatible encapsulation, remote control circuits, wireless power supply strategies, etc., these emerging applications provide implantable probes that differ from conventional tethering techniques such as optical fibers. This review introduces the recent advancements of thin-film microscale LEDs for biomedical applications, covering the device lift-off and transfer printing fabrication processes and the representative biomedical applications for light stimulation, therapy, and photometric biosensing. Wireless power delivery systems have been outlined and discussed to facilitate the operation of implantable probes. With such wireless, battery-free, and minimally invasive implantable light-source probes, these biomedical applications offer excellent opportunities and instruments for both biomedical sciences research and clinical diagnosis and therapy.
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Affiliation(s)
- Haijian Zhang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Yanxiu Peng
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Nuohan Zhang
- GMA Optoelectronic Technology Limited, Xinyang 464000, China;
| | - Jian Yang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - Yongtian Wang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
| | - He Ding
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China; (H.Z.); (Y.P.); (J.Y.); (Y.W.)
- Correspondence:
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21
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de Grip WJ, Ganapathy S. Rhodopsins: An Excitingly Versatile Protein Species for Research, Development and Creative Engineering. Front Chem 2022; 10:879609. [PMID: 35815212 PMCID: PMC9257189 DOI: 10.3389/fchem.2022.879609] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 05/16/2022] [Indexed: 01/17/2023] Open
Abstract
The first member and eponym of the rhodopsin family was identified in the 1930s as the visual pigment of the rod photoreceptor cell in the animal retina. It was found to be a membrane protein, owing its photosensitivity to the presence of a covalently bound chromophoric group. This group, derived from vitamin A, was appropriately dubbed retinal. In the 1970s a microbial counterpart of this species was discovered in an archaeon, being a membrane protein also harbouring retinal as a chromophore, and named bacteriorhodopsin. Since their discovery a photogenic panorama unfolded, where up to date new members and subspecies with a variety of light-driven functionality have been added to this family. The animal branch, meanwhile categorized as type-2 rhodopsins, turned out to form a large subclass in the superfamily of G protein-coupled receptors and are essential to multiple elements of light-dependent animal sensory physiology. The microbial branch, the type-1 rhodopsins, largely function as light-driven ion pumps or channels, but also contain sensory-active and enzyme-sustaining subspecies. In this review we will follow the development of this exciting membrane protein panorama in a representative number of highlights and will present a prospect of their extraordinary future potential.
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Affiliation(s)
- Willem J. de Grip
- Leiden Institute of Chemistry, Department of Biophysical Organic Chemistry, Leiden University, Leiden, Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Srividya Ganapathy
- Department of Imaging Physics, Delft University of Technology, Netherlands
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22
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Lin X, Sun T, Tang M, Yang A, Yan‐Do R, Chen D, Gao Y, Duan X, Kai J, Wang F, Shi P. 3D Upconversion Barcodes for Combinatory Wireless Neuromodulation in Behaving Animals. Adv Healthc Mater 2022; 11:e2200304. [PMID: 35426262 DOI: 10.1002/adhm.202200304] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/22/2022] [Indexed: 11/12/2022]
Abstract
Upconversion techniques offer all-optical wireless alternatives to modulate targeted neurons in behaving animals, but most existing upconversion-based optogenetic devices show prefixed emission that is used to excite just one channelrhodopsin at a restricted brain region. Here, a hierarchical upconversion device is reported to enable spatially selective and combinatory optogenetics in behaving rodent animals. The device assumes a multiarrayed optrode format containing engineered upconversion nanoparticles (UCNPs) to deliver dynamic light palettes as a function of excitation wavelength. Three primary emissions at 477, 540, and 654 nm are selected to match the absorption of different channelrhodopsins. The UCNPs are barcode assembled to multiple nanomachined optical pinholes in a microscale pipette device to allow remotely addressable, spectrum programmable, and spatially selective optical interrogation of complex brain circuits. Using the unique device, the basolateral amygdala and caudoputamen circuits are selectively modulated and the associated fear or anxiety behavior in freely behaving rodents is successfully differentiated. It is believed that the 3D barcode upconversion device would be a great supplement to current optogenetic toolsets and opens up new possibilities for sophisticated neural control.
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Affiliation(s)
- Xudong Lin
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
| | - Tianying Sun
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
- Department of Materials Science and Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
| | - Minghui Tang
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
| | - Anqi Yang
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
| | - Richard Yan‐Do
- Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
- Hong Kong Centre for Cerebro‐Cardiovascular Health Engineering Hong Kong Science Park Kowloon Hong Kong SAR 999077 China
| | - Da Chen
- Department of Mechanical Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
| | - Yaobin Gao
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
| | - Xin Duan
- School of Biomedical Engineering School of Chemical Engineering and Technology Sun Yat‐Sen University Guangzhou 510006 China
| | - Ji‐Jung Kai
- Department of Mechanical Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
| | - Feng Wang
- Department of Materials Science and Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
| | - Peng Shi
- Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong SAR 999077 China
- Hong Kong Centre for Cerebro‐Cardiovascular Health Engineering Hong Kong Science Park Kowloon Hong Kong SAR 999077 China
- Center of Super‐Diamond and Advanced Films (COSDAF) City University of Hong Kong Kowloon Hong Kong SAR 999077 China
- Shenzhen Research Institute City University of Hong Kong Shenzhen Guangdong 518057 China
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