Team >  Member >  竹本 智子  博士(工学)

Takemoto, Satoko

Satoko Takemoto (Dr. Eng.)

　

Affiliation: Image Processing Research Team,
     Center for Advanced Photonics, RIKEN
Position: Research Scientist
Address: 2-1 Hirosawa, Wako, Saitama, 351-0198 Japan
Email: satoko-t[_at_]riken.jp
Phone: +81 48 462 1293
Fax: +81 48 462 1290

Field of Studies:

  Image Analysis, Image Processing, Pattern Recognition

Work Experience:

2023- Image Processing Research Team,
Center for Advanced Photonics, RIKEN
2022-2023 Designated associate professor, Nagoya University
2016- Visiting Associate Professor, Hokkaido University
2013-2022 Image Processing Research Team,
Center for Advanced Photonics, RIKEN
2011-2013 Bio-Research Infrastructure Construction Team,
Advanced Technology Support Division, Advanced Science Institute, RIKEN
2006-2011 Bio-Research Infrastructure Construction Team, VCAD System Research Program, RIKEN

Selected Publications:

  1. M. Umebayashi, S. Takemoto, L. Reymond, M. Sundukova, R. Hovius, A. Bucci, P. A. Heppenstall, H. Yokota, K. Johnsson, H. Riezman, "A covalently linked probe to monitor local membrane properties surrounding plasma membrane proteins", Journal of Cell Biology,222 (3): e202206119, 2023.
  2. K. Hori, H. Ikematsu, Y. Yamamoto, H. Matsuzaki, N. Takeshita, K. Shinmura, Y. Yoda, T. Kiuchi, S. Takemoto, H. Yokota, T. Yano, "Detecting colon polyps in endoscopic images using artificial intelligence constructed with automated collection of annotated images from an endoscopy reporting system", Digestive endoscopy, 34, 5, 1021-1029, 2021.
  3. T. Kitrungrotsakul, X.-X Han, Y. Iwamoto, S. Takemoto, H. Yokota, S. Ipponjima, T. Nemoto, X. Wei, and Y.-W. Chen, "A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18, 2, 396-404, 2021.
  4. M. Morita, K. Shimokawa, M. Nishimura, S. Nakamura, Y. Tsujimura, S. Takemoto, T. Tawara, H. Yokota, S. Wemler, D. Miyamoto, H. Ikeno, A. Sato, T. Furuichi, N. Kobayashi, Y. Okumura, Y. Yamaguchi, Y. Okamura-Oho, "ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks", Nucleic Acids Research, gky951, 2018.
  5. Y. Sakai*, S. Takemoto*, K. Hori*, M. Nishimura, H. Ikematsu, T. Yano and H. Yokota, "Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network", Conf Proc IEEE Eng Med Biol Soc., Jul;2018:4138-4141, 2018. *Y.Sakai, S.Takemoto and K.Hori contributed equally to this work.
  6. Y. Mimura*, S. Takemoto*, T. Tachibana, Y. Ogawa, M. Nishimura, H. Yokota, and N. Imamoto, "A statistical image analysis framework for pore-free islands derived from heterogeneity distribution of nuclear pore complexes", Scientific Reports, Vol. 7, Article number: 16315, 2017. *Y.Mimura & S.Takemoto contributed equally to this work.
  7. M. Ono, H. Akuzawa, Y. Nambo, Y. Hirano, J. Kimura, S. Takemoto, S. Nakamura, H.Yokota, R. Himeno, T Higuchi, T. Ohtaki, S. Tsumagari: Analysis of the equine ovarian structure during the first twelve months of life by three-dimensional internal structure microscopy, Journal of Veterinary Medical Science, 2015.
  8. Y. Okamura-Oho, K. Shimokawa, M. Nishimura, S. Takemoto, A. Sato, T. Furuichi, and H. Yokota: Broad Integration of Expression Maps and Co-Expression Networks Compassing Novel Gene Functions in the Brain, Scientific Reports, Vol. 4, 6969:1-11, 2014.
  9. Y. Okamura-Oho, K. Shimokawa, S. Takemoto, A. Hirakiyama, S. Nakamura, Y. Tsujimura, M. Nishimura, T. Kasukawa, K. Masumoto, I. Nikaido, Y. Shigeyoshi, H. R. Ueda, G. Song, J. Gee, R. Himeno, H. Yokota: Transcriptome tomography for brain analysis in the web-accessible anatomical space, PLoS One, 7(9), e45373:1-10, 2012
  10. S. Hihara, C.-G. Pack, K. Kaizu, T. Tani, T. Hanafusa, T. Nozaki, S. Takemoto, T. Yoshimi, H. Yokota, N. Imamoto, Y. Sako, M. Kinjo, K. Takahashi, T. Nagai, and K. Maeshima: Local Nucleosome Dynamics Facilitate Chromatin Accessibility in Living Mammalian Cells, Cell Reports, 2(6), pp. 1645-1656, 2012.
  11. S. Takemoto and H. Yokota: Algorithm Selection Based on a Region Similarity Metric for Intracellular Image Segmentation, Image segmentation, Intech, pp. 419-434, 2011.
  12. S. Yoshizawa, S. Takemoto, M. Takahashi, M. Muroi, S. Kazami, H. Miyoshi and H. Yokota: Interactive Registration of Intracellular Volumes with Radial Basis Functions, International Journal of Computational Intelligence and Applications, 9(3), pp. 207-224, 2010.
  13. S. Takemoto, H. Yokota, T. Mishima and R. Himeno, Segmentation of Anatomical Structure by Using a Local Classifier Derived from Neighborhood Information, Advances in Soft Computing: Human-Computer Systems Interaction, 60, pp. 171-180, 2009.