1
|
Wang S, Qin M, Fan X, Jiang C, Hou Q, Ye Z, Zhang X, Yang Y, Xiao J, Wallace K, Rastegar-Kashkooli Y, Peng Q, Jin D, Wang J, Wang M, Ding R, Tao J, Kim YT, Bhawal UK, Wang J, Chen X, Wang J. The role of metal ions in stroke: Current evidence and future perspectives. Ageing Res Rev 2024; 101:102498. [PMID: 39243890 DOI: 10.1016/j.arr.2024.102498] [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: 03/18/2024] [Revised: 07/24/2024] [Accepted: 09/04/2024] [Indexed: 09/09/2024]
Abstract
Metal ions play a pivotal role in maintaining optimal brain function within the human body. Nevertheless, the accumulation of these ions can result in irregularities that lead to brain damage and dysfunction. Disruptions of metal ion homeostasis can result in various pathologies, including inflammation, redox dysregulation, and blood-brain barrier disruption. While research on metal ions has chiefly focused on neurodegenerative diseases, little attention has been given to their involvement in the onset and progression of stroke. Recent studies have identified cuproptosis and confirmed ferroptosis as significant factors in stroke pathology, underscoring the importance of metal ions in stroke pathology, including abnormal ion transport, neurotoxicity, blood-brain barrier damage, and cell death. Additionally, it provides an overview of contemporary metal ion chelators and detection techniques, which may offer novel approaches to stroke treatment.
Collapse
Affiliation(s)
- Shaoshuai Wang
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China; Non-commissioned Officer School of Army Medical University, Shijiazhuang, Hebei 050000, China
| | - Mengzhe Qin
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Xiaochong Fan
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Chao Jiang
- Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Qingchuan Hou
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Ziyi Ye
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Xinru Zhang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yunfan Yang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jingyu Xiao
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Kevin Wallace
- College of Mathematical and Natural Sciences, University of Maryland, College Park, MD 20742, USA
| | - Yousef Rastegar-Kashkooli
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China; School of International Education, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Qinfeng Peng
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Dongqi Jin
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Junyang Wang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Menglu Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Ruoqi Ding
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Jin Tao
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Yun Tai Kim
- Division of Functional Food Research, Korea Food Research Institute, 245, Nongsaengmyeong-ro, Iseo-myeon, Wanju-gun, Jeollabuk-do 55365, Republic of Korea; Department of Food Biotechnology, Korea University of Science & Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea
| | - Ujjal K Bhawal
- Center for Global Health Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu 600077, India; Research Institute of Oral Science, Nihon University School of Dentistry at Matsudo, Chiba 271-8587, Japan
| | - Junmin Wang
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China.
| | - Xuemei Chen
- Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China.
| | - Jian Wang
- Department of Pain Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China; Department of Human Anatomy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China.
| |
Collapse
|
2
|
Ou Z, Duh YS, Rommelfanger NJ, Keck CHC, Jiang S, Brinson K, Zhao S, Schmidt EL, Wu X, Yang F, Cai B, Cui H, Qi W, Wu S, Tantry A, Roth R, Ding J, Chen X, Kaltschmidt JA, Brongersma ML, Hong G. Achieving optical transparency in live animals with absorbing molecules. Science 2024; 385:eadm6869. [PMID: 39236186 DOI: 10.1126/science.adm6869] [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: 11/01/2023] [Accepted: 07/12/2024] [Indexed: 09/07/2024]
Abstract
Optical imaging plays a central role in biology and medicine but is hindered by light scattering in live tissue. We report the counterintuitive observation that strongly absorbing molecules can achieve optical transparency in live animals. We explored the physics behind this observation and found that when strongly absorbing molecules dissolve in water, they can modify the refractive index of the aqueous medium through the Kramers-Kronig relations to match that of high-index tissue components such as lipids. We have demonstrated that our straightforward approach can reversibly render a live mouse body transparent to allow visualization of a wide range of deep-seated structures and activities. This work suggests that the search for high-performance optical clearing agents should focus on strongly absorbing molecules.
Collapse
Affiliation(s)
- Zihao Ou
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Yi-Shiou Duh
- Department of Physics, Stanford University, Stanford, CA, USA
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
| | - Nicholas J Rommelfanger
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Carl H C Keck
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Shan Jiang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Kenneth Brinson
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Su Zhao
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Elizabeth L Schmidt
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Xiang Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Fan Yang
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Betty Cai
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
| | - Han Cui
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Wei Qi
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Shifu Wu
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Adarsh Tantry
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Neurosciences IDP Graduate program, Stanford University, Stanford, CA
| | - Richard Roth
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Jun Ding
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Xiaoke Chen
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Julia A Kaltschmidt
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Mark L Brongersma
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA
- Department of Applied Physics, Stanford University, Stanford, CA, USA
| | - Guosong Hong
- Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| |
Collapse
|
3
|
Daetwyler S, Fiolka RP. Light-sheets and smart microscopy, an exciting future is dawning. Commun Biol 2023; 6:502. [PMID: 37161000 PMCID: PMC10169780 DOI: 10.1038/s42003-023-04857-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
Light-sheet fluorescence microscopy has transformed our ability to visualize and quantitatively measure biological processes rapidly and over long time periods. In this review, we discuss current and future developments in light-sheet fluorescence microscopy that we expect to further expand its capabilities. This includes smart and adaptive imaging schemes to overcome traditional imaging trade-offs, i.e., spatiotemporal resolution, field of view and sample health. In smart microscopy, a microscope will autonomously decide where, when, what and how to image. We further assess how image restoration techniques provide avenues to overcome these tradeoffs and how "open top" light-sheet microscopes may enable multi-modal imaging with high throughput. As such, we predict that light-sheet microscopy will fulfill an important role in biomedical and clinical imaging in the future.
Collapse
Affiliation(s)
- Stephan Daetwyler
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Reto Paul Fiolka
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| |
Collapse
|
4
|
Jaafar A, Darvin ME, Tuchin VV, Veres M. Confocal Raman Micro-Spectroscopy for Discrimination of Glycerol Diffusivity in Ex Vivo Porcine Dura Mater. Life (Basel) 2022; 12:1534. [PMID: 36294969 PMCID: PMC9605590 DOI: 10.3390/life12101534] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/27/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Dura mater (DM) is a connective tissue with dense collagen, which is a protective membrane surrounding the human brain. The optical clearing (OC) method was used to make DM more transparent, thereby allowing to increase in-depth investigation by confocal Raman micro-spectroscopy and estimate the diffusivity of 50% glycerol and water migration. Glycerol concentration was obtained, and the diffusion coefficient was calculated, which ranged from 9.6 × 10-6 to 3.0 × 10-5 cm2/s. Collagen-related Raman band intensities were significantly increased for all depths from 50 to 200 µm after treatment. In addition, the changes in water content during OC showed that 50% glycerol induces tissue dehydration. Weakly and strongly bound water types were found to be most concentrated, playing a major role in the glycerol-induced water flux and OC. Results show that OC is an efficient method for controlling the DM optical properties, thereby enhancing the in-depth probing for laser therapy and diagnostics of the brain. DM is a comparable to various collagen-containing tissues and organs, such as sclera of eyes and skin dermis.
Collapse
Affiliation(s)
- Ali Jaafar
- Institute for Solid State Physics and Optics, Wigner Research Center for Physics, H-1525 Budapest, Hungary
- Institute of Physics, University of Szeged, Dom ter 9, H-6720 Szeged, Hungary
- Ministry of Higher Education and Scientific Research, Baghdad 10065, Iraq
| | - Maxim E. Darvin
- Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Venerology and Allergology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Valery V. Tuchin
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., 410012 Saratov, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC “Saratov Scientific Centre of the Russian Academy of Sciences”, 24 Rabochaya Str., 410028 Saratov, Russia
- A.N. Bach Institute of Biochemistry, FRC “Biotechnology of the Russian Academy of Sciences”, 33-2 Leninsky Prospect, 119071 Moscow, Russia
| | - Miklós Veres
- Institute for Solid State Physics and Optics, Wigner Research Center for Physics, H-1525 Budapest, Hungary
| |
Collapse
|
5
|
Visualization of regenerating and repairing hearts. Clin Sci (Lond) 2022; 136:787-798. [PMID: 35621122 PMCID: PMC9886236 DOI: 10.1042/cs20211116] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023]
Abstract
With heart failure continuing to become more prevalent, investigating the mechanisms of heart injury and repair holds much incentive. In contrast with adult mammals, other organisms such as teleost fish, urodele amphibians, and even neonatal mammals are capable of robust cardiac regeneration to replenish lost or damaged myocardial tissue. Long-term high-resolution intravital imaging of the behaviors and interactions of different cardiac cell types in their native environment could yield unprecedented insights into heart regeneration and repair. However, this task remains challenging for the heart due to its rhythmic contraction and anatomical location. Here, we summarize recent advances in live imaging of heart regeneration and repair, discuss the advantages and limitations of current systems, and suggest future directions for novel imaging technology development.
Collapse
|
6
|
Serrano ME, Kim E, Petrinovic MM, Turkheimer F, Cash D. Imaging Synaptic Density: The Next Holy Grail of Neuroscience? Front Neurosci 2022; 16:796129. [PMID: 35401097 PMCID: PMC8990757 DOI: 10.3389/fnins.2022.796129] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/15/2022] [Indexed: 12/19/2022] Open
Abstract
The brain is the central and most complex organ in the nervous system, comprising billions of neurons that constantly communicate through trillions of connections called synapses. Despite being formed mainly during prenatal and early postnatal development, synapses are continually refined and eliminated throughout life via complicated and hitherto incompletely understood mechanisms. Failure to correctly regulate the numbers and distribution of synapses has been associated with many neurological and psychiatric disorders, including autism, epilepsy, Alzheimer’s disease, and schizophrenia. Therefore, measurements of brain synaptic density, as well as early detection of synaptic dysfunction, are essential for understanding normal and abnormal brain development. To date, multiple synaptic density markers have been proposed and investigated in experimental models of brain disorders. The majority of the gold standard methodologies (e.g., electron microscopy or immunohistochemistry) visualize synapses or measure changes in pre- and postsynaptic proteins ex vivo. However, the invasive nature of these classic methodologies precludes their use in living organisms. The recent development of positron emission tomography (PET) tracers [such as (18F)UCB-H or (11C)UCB-J] that bind to a putative synaptic density marker, the synaptic vesicle 2A (SV2A) protein, is heralding a likely paradigm shift in detecting synaptic alterations in patients. Despite their limited specificity, novel, non-invasive magnetic resonance (MR)-based methods also show promise in inferring synaptic information by linking to glutamate neurotransmission. Although promising, all these methods entail various advantages and limitations that must be addressed before becoming part of routine clinical practice. In this review, we summarize and discuss current ex vivo and in vivo methods of quantifying synaptic density, including an evaluation of their reliability and experimental utility. We conclude with a critical assessment of challenges that need to be overcome before successfully employing synaptic density biomarkers as diagnostic and/or prognostic tools in the study of neurological and neuropsychiatric disorders.
Collapse
Affiliation(s)
- Maria Elisa Serrano
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Eugene Kim
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Marija M Petrinovic
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom
| | - Federico Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Diana Cash
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| |
Collapse
|
7
|
Lehtinen K, Nokia MS, Takala H. Red Light Optogenetics in Neuroscience. Front Cell Neurosci 2022; 15:778900. [PMID: 35046775 PMCID: PMC8761848 DOI: 10.3389/fncel.2021.778900] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/02/2021] [Indexed: 12/25/2022] Open
Abstract
Optogenetics, a field concentrating on controlling cellular functions by means of light-activated proteins, has shown tremendous potential in neuroscience. It possesses superior spatiotemporal resolution compared to the surgical, electrical, and pharmacological methods traditionally used in studying brain function. A multitude of optogenetic tools for neuroscience have been created that, for example, enable the control of action potential generation via light-activated ion channels. Other optogenetic proteins have been used in the brain, for example, to control long-term potentiation or to ablate specific subtypes of neurons. In in vivo applications, however, the majority of optogenetic tools are operated with blue, green, or yellow light, which all have limited penetration in biological tissues compared to red light and especially infrared light. This difference is significant, especially considering the size of the rodent brain, a major research model in neuroscience. Our review will focus on the utilization of red light-operated optogenetic tools in neuroscience. We first outline the advantages of red light for in vivo studies. Then we provide a brief overview of the red light-activated optogenetic proteins and systems with a focus on new developments in the field. Finally, we will highlight different tools and applications, which further facilitate the use of red light optogenetics in neuroscience.
Collapse
Affiliation(s)
- Kimmo Lehtinen
- Department of Biological and Environmental Science, Nanoscience Center, University of Jyväskylä, Jyväskylä, Finland
| | - Miriam S. Nokia
- Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
- Centre for Interdisciplinary Brain Research, University of Jyväskylä, Jyväskylä, Finland
| | - Heikki Takala
- Department of Biological and Environmental Science, Nanoscience Center, University of Jyväskylä, Jyväskylä, Finland
| |
Collapse
|
8
|
Yamaguchi K, Otomo K, Kozawa Y, Tsutsumi M, Inose T, Hirai K, Sato S, Nemoto T, Uji-i H. Adaptive Optical Two-Photon Microscopy for Surface-Profiled Living Biological Specimens. ACS OMEGA 2021; 6:438-447. [PMID: 33458495 PMCID: PMC7807736 DOI: 10.1021/acsomega.0c04888] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 11/05/2020] [Indexed: 05/08/2023]
Abstract
We developed adaptive optical (AO) two-photon excitation microscopy by introducing a spatial light modulator (SLM) in a commercially available microscopy system. For correcting optical aberrations caused by refractive index (RI) interfaces at a specimen's surface, spatial phase distributions of the incident excitation laser light were calculated using 3D coordination of the RI interface with a 3D ray-tracing method. Based on the calculation, we applied a 2D phase-shift distribution to a SLM and achieved the proper point spread function. AO two-photon microscopy improved the fluorescence image contrast in optical phantom mimicking biological specimens. Furthermore, it enhanced the fluorescence intensity from tubulin-labeling dyes in living multicellular tumor spheroids and allowed successful visualization of dendritic spines in the cortical layer V of living mouse brains in the secondary motor region with a curved surface. The AO approach is useful for observing dynamic physiological activities in deep regions of various living biological specimens with curved surfaces.
Collapse
Affiliation(s)
- Kazushi Yamaguchi
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- Research
Institute for Electronic Science, Hokkaido
University, 060-0814 Sapporo, Hokkaido, Japan
- Division
of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
| | - Kohei Otomo
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- Research
Institute for Electronic Science, Hokkaido
University, 060-0814 Sapporo, Hokkaido, Japan
- Division
of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
- Exploratory
Research Center on Life and Living Systems, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
- Department
of Physiological Sciences, The Graduate
School for Advanced Study, 240-0193 Hayama, Kanagawa, Japan
| | - Yuichi Kozawa
- Institute
of Multidisciplinary Research for Advanced Materials, Tohoku University, 980-8577 Sendai, Miyagi, Japan
| | - Motosuke Tsutsumi
- Research
Institute for Electronic Science, Hokkaido
University, 060-0814 Sapporo, Hokkaido, Japan
- Division
of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
- Exploratory
Research Center on Life and Living Systems, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
| | - Tomoko Inose
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- Research
Institute for Electronic Science, Hokkaido
University, 060-0814 Sapporo, Hokkaido, Japan
| | - Kenji Hirai
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- Research
Institute for Electronic Science, Hokkaido
University, 001-0020 Sapporo, Hokkaido, Japan
| | - Shunichi Sato
- Institute
of Multidisciplinary Research for Advanced Materials, Tohoku University, 980-8577 Sendai, Miyagi, Japan
| | - Tomomi Nemoto
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- Research
Institute for Electronic Science, Hokkaido
University, 060-0814 Sapporo, Hokkaido, Japan
- Division
of Biophotonics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
- Exploratory
Research Center on Life and Living Systems, National Institutes of Natural Sciences, 444-8787 Okazaki, Aichi, Japan
- Department
of Physiological Sciences, The Graduate
School for Advanced Study, 240-0193 Hayama, Kanagawa, Japan
| | - Hiroshi Uji-i
- Graduate
School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, Hokkaido, Japan
- KU
Leuven, Department of Chemistry, Celestijinenlaan 200F, 3001 Heverlee, Leuven, Belgium
- Research
Institute for Electronic Science, Hokkaido
University, 001-0020 Sapporo, Hokkaido, Japan
| |
Collapse
|