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Aiming for Innovation in Regenerative Medicine with Quantum Technology

By applying quantum technologies such as nano quantum sensors to regenerative medicine and engineering, we are working to create technologies for measuring and diagnosing the cellular state of stem cells and regenerative cells in the in vivo environment, tissues, and organs, and for quality control prior to transplantation. Our goal is to contribute to the fields of regenerative medicine and embryology while deepening our understanding of the cellular state of stem cells and regenerative cells both in vivo and in vitro.

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OVERVIEW

RESEARCH

Visualization with Quantum Technology!
New Possibilities in Regenerative and Biomedical Engineering

By applying quantum technologies such as nano quantum sensors to regenerative medicine and engineering, we will work to create technologies for measuring and diagnosing (quality control) the cellular state of stem cells and regenerative cells in the in vivo environment, tissues, and organs, not only before transplantation but also after transplantation.

Development of Nano Quantum sensor and its Application to In Vivo Observation and Diagnosis of Stem Cells and Regenerative Cells
Development of Near-Infrared Nano Quantum Sensor and its Application to In Vivo Deep Imaging Diagnosis and Therapy
Nano Quantum Sensor Live Imaging of Cell Activity in the Brain Applied to Regenerative Medicine for Neurological Disease
Creation of Cell Measurement and Manipulation Technology by Fusion of Nano Quantum Sensor and Microfluidics and Quantum Life Science Application

PUBLICATION

  • Ueda Y., Tsukahara K., Hasumi M., Uyama K., Yukawa H., Kato T., Toda T., Ohta S., Nishii K.
    "Cis-1,4-specific polymerization of 1,3-conjugated dienes with bis (benzimidazole) NiCl2 catalyst system"
    Polymer 2024 in press.

  • Asano T., Suga H., Niioka H., Yukawa H., Sakakibara M., Taga S., Soen M., Miwata T., Sasaki H., Seki T., Hasegawa S., Murakami S., Abe M., Yasuda Y., Miyata T., Kobayashi T., Sugiyama M., Onoue T., Hagiwara D., Iwama S., Baba Y., Iwama S.
    "A deep learning approach to predict differentiation outcomes in hypothalamic pituitary organoids"
    Commun. Biol. 2024 in press.

  • Yukawa H., Kono H., Ishiwata H., Igarashi R., Takakusagi Y., Arai S., Hirano Y., Suhara T., Baba Y.
    "Biological Nano Quantum Sensors, Quantum Technology-Based Hyperpolarized MRI/NMR, Quantum Biology, and Quantum Biotechnology"
    Chem. Soc. Rev. 2024 in press.

  • Yasui T., Natsume A., Yanagida T., Nagashima K., Washio T., Ichikawa Y., Chattrairat K., Naganawa T., Iida M., Kitano Y., Aoki K., Mizunuma M., Shimada T., Takayama K., Ochiya T., Kawai T., Baba Y.
    "Early Cancer Detection via Multi-microRNA Profiling of Urinary Exosomes Captured by Nanowires"
    Anal. Chem. 2024 in press.

  • Onoshima D., Uchida K., Iida T., Kojima T., Ikeda Y., Iwata D., Nagasawa I., Yukawa H., Baba Y.
    "Single-cell detection and linear discriminant analysis of bacterial Raman spectra in glass filter microholes"
    Anal. Methods 2024; 16(39): 6746-6750.

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