2018 Fiscal Year Final Research Report
Electrical TFT platform for fundamental understanding of neuromuscular communication in the aim of neuroprosthesis.
| Project/Area Number |
16H04344
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Electron device/Electronic equipment
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| Research Institution | The University of Tokyo |
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Principal Investigator |
TIXIER-MITA Agnes 東京大学, 先端科学技術研究センター, 准教授 (00334368)
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| Co-Investigator(Kenkyū-buntansha) |
池内 与志穂 東京大学, 生産技術研究所, 准教授 (30740097)
年吉 洋 東京大学, 先端科学技術研究センター, 教授 (50282603)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Keywords | Bio-sensor array / Integrated bio-device / Thin-Film-Transistor / Spiking Neural Network / Neuroprosthesis / Cells network analysis |
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| Outline of Final Research Achievements |
An electrical platform, based on TFT electrode array, was developed. It allows optical observation as well as electrical stimulation and sensing of neurons cells cultured on top of the device. An Arduino control system was developed in order to control the microelectrodes array and to program them for sensing, or to apply stimulation signal. It allows also scanning of the array, to obtain a 2D mapping of the cells culture electrical activity. At the same time, the platform was interfaced with a Central Pattern Generator (CPG) to realize a more biologically plausible stimulation of neurons and to investigate the interactions between artificial and biological entities. That platform was applied to several types of cells culture in order to enlarge the field of expertise of our group: cortical neurons, brain organoids and cardiomyocyte cells. Two new research projects have been built based on the results.
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| Free Research Field |
バイオデバイス
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| Academic Significance and Societal Importance of the Research Achievements |
The platform is the only existing tool for optical and electrical analyze of mix cells culture network of electrogenic cells (neurons, cardiomyocyte, muscle cells), at mesoscale. It will be used for fundamental understanding of communication in cells network, and investigation on related disease.
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