"Common Platform Technology, Facilities, and Equipment" mission area

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Realization of common platform technologies, facilities and equipment that create innovative knowledge and products

R&D has served as the source of innovative knowledge and products that impact future society. In order to strengthen the research capacity of our country currently in a disadvantaged position in terms of the number of researchers and R&D budget compared to the United States and China, we have to promote more efficient and effective R&D activities by realizing innovative common platform technology, facilities and equipment for R&D. However, the number of published papers, an indicator for R&D vigor, has not increased much in recent years. It is feared that the R&D capability of Japan may be declining with the rise of other countries and changes in Japan's demographic structure. To reverse this declining trend, it is necessary to steadily promote research to meet needs of R&D activity as well as research toward an exit to social needs.

This Prioritized Theme has therefore been established to:
(1) Develop high-risk and high-impact advanced measurement and analysis technologies/instruments.
(2) Develop and systemize applications, such as data analysis and processing technologies.
(3) Develop technology that contributes to improving productivity of research fields.

We aim to revolutionize the construction of the common platform technology to improve resolution, accuracy and throughput, etc. by integrating two achievements, i.e., the development of measurement and analysis technologies and devices (see by eye) aiming for systemization and facilitation from the above perspective and enhancement of mathematical analysis and simulation (see by machine) based on mathematical science and mathematical engineering which have rapidly developed in recent years.

R&D Projects

Full-scale R&D Project

Development of Minimally Invasive High-throughput Optical Condensation System (Iida PJ)
Materials Exploration Platform; Expanding Search Space by high-throughput technology (Nagato PJ)
Accelerating Life Sciences by Robotic Biology (Takahahi PJ)

Feasibility Study

<Adopted in FY2018> R&D Project TitleSummaryR&D Period
Quantitative approach for genome evolution dynamics based on multiscale mathematical mode
IWAMI Shingo(Professor, Graduate School of Science, Nagoya University)
Quantitative approach for genome evolution dynamics based on multiscale mathematical mode
(PDF:203KB)
2018.11-
Time-resolved transmission electron microscopy using ultrashort coherent beam
KUWAHARA Makoto(Associate Professor, Institute of Materials and Systems for Sustainability, Nagoya University)
Time-resolved transmission electron microscopy using ultrashort coherent beam
(PDF:232KB)
2018.11
-2021.03
Comprehensive R&D Platform for Topological Data Analysis
SAKAJO Takashi(Professor, Department of Mathematics, Kyoto University)
Comprehensive R&D Platform for Topological Data Analysis
(PDF:582KB)
2018.11-
Accelerating Life Sciences by Robotic Biology
TAKAHASHI Koichi(Team Leader, Center for Biosystems Dynamics Research, RIKEN)
Accelerating Life Sciences by Robotic Biology
(PDF:195KB)
2018.11
-2020.12
Development of Materials Design Workflow and Data Library for "Materials Foundry"
CHIKYOW Toyohiro(Senior Scientist with Special Missions & Associate General Manager, Materials Data & Integrated System (MaDIS), National Institute for Materials Science (NIMS))
Development of Materials Design Workflow and Data Library for Materials Foundry
(PDF:182KB)
2018.11
-2021.05
Subnanometer-Scale Measurement and Analysis System for Three-dimensional Fluctuating Structures
FUKUMA Takeshi(Director, Nano Life Science Institute (WPI-NanoLSI), Kanazawa University)
Subnanometer-Scale Measurement and Analysis System for Three-dimensional Fluctuating Structures
(PDF:207KB)
2018.11
-2021.03
Development of Highly Efficient Flow Synthesis Process for Functionalized Peptides
FUSE Shinichiro(Professor, Graduate School of Pharmaceutical Sciences, Nagoya University)
Development of Highly Efficient Flow Synthesis Process for Functionalized Peptides
(PDF:232KB)
2018.11
-2021.03
Virtual Aperture Microscope: Long depth-of-focus imaging by computational optics
YASUNO Yoshiaki(Professor, Faculty of Clinical Medicine, University of Tsukuba)
Virtual Aperture Microscope: Long depth-of-focus imaging by computational optics
(PDF:202KB)
2018.11
-2021.03
Development of techniques for single-cell profiling based on physical properties
YOSHINO Tomoko(Professor, Institute of Engineering, Tokyo University of Agriculture and Technology)
Development of techniques for single-cell profiling based on physical properties
(PDF:203KB)
2018.11
-2021.03
Development of Minimally Invasive High-throughput Optical Condensation System
IIDA Takuya(Professor, Graduate School of Science / Director of Research Institute for LAC-SYS, Osaka Prefecture University)
Development of Minimally Invasive High-throughput Optical Condensation System
(PDF:211KB)
2018.11
-2021.05
Construction of a foundation for simulation analysis for understanding glycan function *
AOKI-KINOSHITA F. Kiyoko(Professor, Faculty of Science and Engineering, Soka University)
Construction of a foundation for simulation analysis for understanding glycan function
(PDF:214KB)
2018.11
-2021.03
Development of Multi-Dimensional Infrared Circular Dichroism Spectroscopy *
SATO Hisako(Professor, Graduate School of Science and Engineering, Ehime University)
Development of Multi-Dimensional Infrared Circular Dichroism Spectroscopy
(PDF:278KB)
2018.11
-2021.03
Upgrading of the Fourier and global optimization techniques used in material structure analysis *
OISHI-TOMIYASU Ryoko(Associate Professor, Laboratory of Advanced Software in Mathematics, Institute of Mathematics for Industry, Kyushu University)
Upgrading of the Fourier and global optimization techniques used in material structure analysis
(PDF:183KB)
2018.11
-2021.03
<Adopted in FY2019> R&D Project TitleSummaryR&D Period
Multiscale Multimodal Materials Structure Analysis System
ONO Kanta(Associate Professor, Institute of Materials Structure Science, High Energy Accelerator Research Organization (KEK))
Multiscale Multimodal Materials Structure Analysis System
(PDF:184KB)
2019.11
-2021.05
Development of quantum microscopy for visualizing molecular functions in living cells
SHIGEKAWA Hidemi(Professor, Faculty of Pure and Applied Sciences, University of Tsukuba)
Development of quantum microscopy for visualizing molecular functions in living cells
(PDF:179KB)
2019.11
-2021.03
Data-driven Process Informatics for higher-throughput researches on powder film-formation process
NAGATO Keisuke(Associate Professor, Graduate School of Engineering, The University of Tokyo)
Data-driven Process Informatics for higher-throughput researches on powder film-formation process
(PDF:197KB)
2019.11
-2021.05
Materials Robotics: A new research style for materials science
HITOSUGI Taro(Professor, School of Tokyo Institute of Technology)
Materials Robotics: A new research style for materials science
(PDF:240KB)
2019.11
-2021.05
Development of covariation network analysis using super-resolution immunofluorescence microscopy
MURATA Masayuki (Specially Appointed Professor, Tokyo Institute of Technology/ Professor Emeritus, The University of Tokyo)
Development of covariation network analysis using super-resolution immunofluorescence microscopy
(PDF:378KB)
2019.11-
Precise creation of cell-cell interaction for utilizing cell resources
YAMAGUCHI Satoshi(Associate Prof. Research Center for Advanced Science and Technology, The University of Tokyo)
Precise creation of cell-cell interaction for utilizing cell resources
(PDF:188KB)
2019.11-
Development of cell modeling platform for drug development
OKADA Mariko(Professor, Institute for Protein Research, Osaka University)
Development of cell modeling platform for drug development
(PDF:413KB)
2019.11-
Infrastructure to objectify qualitative knowledge *
KAGAWA Rina(Assistant Professor, Faculty of Medicine, University of Tsukuba)
Infrastructure to objectify qualitative knowledge
(PDF:171KB)
2019.11-
Unraveling advanced skills through AI and mathematical modeling *
SUITO Hiroshi (Professor, Advanced Institute for Materials Research, Tohoku University)
Unraveling advanced skills through AI and mathematical modeling
(PDF:172KB)
2019.11-
<Adopted in FY2020> R&D Project TitleSummaryR&D Period
Development of an automatic sample pretreatment device to accelerate quantitative and phenotypic analysis at single-cell resolution
IZUMI Yoshihiro (Associate Professor,Medical Institute of Bioregulation, Kyushu University)
Development of an automatic sample pretreatment device to accelerate quantitative and phenotypic analysis at single-cell resolution
(PDF:203KB)
2020.11-
Fast spectroscopic super-resolution infrared imaging by integrating measurement and analysis
KAWANO Yukio (Professor, Faculty of Science and Engineering, Chuo University)
Fast spectroscopic super-resolution infrared imaging by integrating measurement and analysis
(PDF:247KB)
2020.11-
Development of Raman spectroscopic techniques for molecular analysis with high sensitivity
FUJITA Katsumasa (Professor, Department of Applied Physics, Osaka University)
Development of Raman spectroscopic techniques for molecular analysis with high sensitivity
(PDF:197KB)
2020.11-
Innovation in organic molecular engineering with AI-assisted organic synthesis system using a frugal device
MATSUBARA Seijiro (Professor,Graduate School of Engineering, Kyoto University)
Innovation in organic molecular engineering with AI-assisted organic synthesis system using a frugal device
(PDF:197KB)
2020.11-
High-throughput and high-precision electron 3D crystallography
YONEKURA Koji (Group director, RIKEN SPring-8 Center / Professor, IMRAM, Tohoku University)
High-throughput and high-precision electron 3D crystallography
(PDF:302KB)
2020.11-
Development of mathematical sciences framework for "morph" and social implementation of their logic toward real-world issues *
NOSHITA Koji (Assistant Professor,Department of Biology, Faculty of Science, Kyushu University)
Development of mathematical sciences framework for morph and social implementation of their logic toward real-world issues *
(PDF:227KB)
2020.11-

* Small-start Type (Component technology type)

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