Yasuyuki Ozeki

Innovative biological analysis using high-speed Raman microscopy, probes, and machine learning

Grant No.：JPMJCR2331

Research Director

Yasuyuki Ozeki

Collaborator

Mako Kamiya	Professor Department of Life Science and Technology Institute of Science Tokyo
Akira Funahashi	Professor Faculty of Science and Technology Keio University

Outline

Living organisms are intricately woven from a myriad of diverse cells. Within these cells, an array of organelles and biomolecules engages in sophisticated interactions, underpinning the vital processes that sustain life. To elucidate these complex and dynamic cellular mechanisms, our research unites experts from the fields of high speed Raman microscopy (physics), Raman probes (chemistry), and advanced biological image analysis (information technology). Together, we endeavor to visualize, with unprecedented spatial precision, the myriad organelles and biomolecules active within living cells. Our ultimate aim is to establish methodologies that provide clarity to their multifaceted interactions, furthering our understanding of the fundamental mechanisms of life.

Takuya Kubo

Barrier breakthrough and social implementation on liquid phase separation by the fusion of molecularly and informative technology

Grant No.：JPMJCR2332

Research Director

Takuya Kubo

Collaborator

Hikaru Takaya	Professor Faculty Life & Environmental Sciences Teikyo University of Science
Ryo Yoshida	Professor The Institute of Statistical Mathematics Inter-University Research Institute Corporation Research Organization of Information and Systems

Outline

In this study, we develop the innovative separation media for identifying single atom (groups) and a comprehensive data base in liquid phase separation due to an organic fusion of material design, chemical theory, and physical/chemical informatics. We challenge the precise separation of the compounds, which are not able to be separated by the presenting methods, such as isotope isomers and polymers of tiny differences. We also impellent a promotion for development of a data driven software to predict the retention in liquid phase separation.

Tamiki Komatsuzaki

Accelerated screening measurement platform utilizing individual differences among animals with intelligent online measurements

Grant No.：JPMJCR2333

Research Director

Tamiki Komatsuzaki

Collaborator

Keisuke Goda	Professor Graduate School of Science The University of Tokyo
Masahiro Sonoshita	Professor Institute for Genetic Medicine Hokkaido University

Outline

We develop an intelligent online measurement based screening platform that relies on the information of distributions of cancer degree (including mean, variance, and skewness) of individuals by integrating a flow optical imaging device with a multi objective multi armed bandit approach. This enables rapid screening with guaranteeing accuracy of measurements. We adopt the wing disc of fruit fly larvae, which is a pancreatic cancer model, as a phenotypic marker to differentiate from normal larvae, and quantify the degree of cure using a deep learning architecture, paving the way for rapid drug screening beyond conventional techniques relying on average efficacy of drugs.

Yuichi Taniguchi

Development of higher order molecular genome structure analysis technology based on physics and information theory

Grant No.：JPMJCR2334

Research Director

Yuichi Taniguchi

Collaborator

Yasuaki Hiraoka

Professor Institute for Advanced Study Kyoto University

Outline

Aiming at realizing 3D genome structure analysis at the molecular resolution, we develop sequencing based experimental methods for capturing proximity among nucleosome loci across the genome for various organisms and combine physics simulations and informatic theories for molecular level modeling. Furthermore, based on accumulated data on 3D genome structures and epigenome features, we develop an AI platform that predicts gene expressions from the 3D physical and chemical model of the genome.

Wataru Yashiro

Development of 4D+ X ray tomography for observing dynamics inside real materials

Grant No.：JPMJCR2335

Research Director

Wataru Yashiro

Collaborator

Hideaki Iwasawa	Senior Principal Researcher Kansai Institute for Photon Science National Institutes for Quantum Science and Technology
Kei Kamada	Associate Professor New Industry Creation Hatchery Center Tohoku University
Hiroyuki Kudo	Professor Institute of Systems and Information Engineering University of Tsukuba
Suguru Shimizu	Assistant Professor Graduate School of Science Osaka University
Hitoshi Soyama	Professor Graduate School of Engineering Tohoku University

Outline

In non repeating and non equilibrium systems, there are vast 4D unexplored regions that are inaccessible even by mankind’s most advanced measurement technology. In this study, the principal investigator (PI) and collaborating researchers (Co. PI) will further develop submillisecond and even 1 to 10 microsecond temporal resolution multimodal (e.g., element identification) 4D X ray CT by further developing the world’s first X ray CT with millisecond order temporal resolution, aiming to create a new academic field and eventually to solve various social problems.

Yutaka Yoshida

Measurement Data Driven Optimization System for Thin Film Process

Grant No.：JPMJCR2336

Research Director

Yutaka Yoshida

Collaborator

Yusuke Ichino	Professor Engineering Aichi Institute of Technology
Ataru Ichinose	Grid Innovation Research Laboratory Central Research Institute of Electrical Power Industry
Keiichi Horio	Professor Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology

Outline

The measurement data driven optimization system for thin film process will be developed for heteroepitaxial thin films of strongly correlated electron materials on single crystalline substrates. Advanced multi parameter measurement, Monte Carlo simulation, and Bayesian optimization will be performed to accelerate the optimization of the thin film fabrication process. The potential applications to multilayer films, nanocomposite thin films, and practical energy materials will also be demonstrated.