CV

Work experiences

1. 2022–current, Special Postdoctoral Researcher, Onami lab, RIKEN Center for Biosystems Dynamics Research

2. 2018–2022 Postdoctoral researcher, Kimura lab, Graduate school of Science, Nagoya City University

3. 2017–2018, Postdoctoral researcher, Kimura lab, Graduate school of Science, Osaka University

4. 2015–2016, Teaching fellow, Hokkaido University

Education

1. March 2017：PhD in Life Science, Hokkaido University, Japan

2. September 2013：MS in Life Science, Hokkaido University, Japan

3. June 2007: BS in Applied physics, Wuhan University, China

Papers (peer-reviewed)

(*: Corresponding author)

1. Mami Matsumoto, Katsuyoshi Matsushita, Masaya Hane, Chentao Wen, Chihiro Kurematsu, Haruko Ota, Huy Bang Nguyen, Truc Quynh Thai, Vicente Herranz-Pérez, Masato Sawada, Koichi Fujimoto, José Manuel García-Verdugo, Koutarou D Kimura, Tatsunori Se, Chihiro Sato, Nobuhiko Ohno, and Kazunobu Sawamoto*, Neuraminidase inhibition promotes the collective migration of neurons and recovery of brain function. EMBO Molecular Medicine 2024 Paper

2. Chentao Wen*, Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals. In: Imaging Cell Signaling. Methods in Molecular Biology, vol 2800. Wuelfing, C., Murphy, R.F. eds. (New York, NY: Humana Press), pp. 203-215, 2024. Paper 

3. Chentao Wen*, Mami Matsumoto, Masato Sawada, Kazunobu Sawamoto, Koutarou D. Kimura. Seg2Link: an efficient and versatile solution for semi-automatic cell segmentation in 3D image stacks. Scientific Reports 2023 Paper

4. Chentao Wen, Koutarou Kimura, Tracking Moving Cells in 3D Time Lapse Images Using 3DeeCellTracker. Bio-protocol 2022 Paper 

5. Chentao Wen*, Takuya Miura, Venkatakaushik Voleti, Kazushi Yamaguchi, Motosuke Tsutsumi, Kei Yamamoto, Kohei, Otomo, Yukako Fujie, Takayuki Teramoto, Takeshi Ishihara, Kazuhiro Aoki, Tomomi Nemoto, Elizabeth M.C. Hillman, Koutarou D. Kimura.  3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images. eLife, 2021 Paper

6. Chentao Wen*, Koutarou D. Kimura. How do we know how the brain works?-Analyzing whole brain activities with classic mathematical and machine learning methods. Japanese Journal of Applied Physics. 2020 Paper

7. Venkatakaushik Voleti, Kripa B. Patel, Wenze Li, Citlali Perez Campos, Srinidhi Bharadwaj, Hang Yu, Caitlin Ford, Malte J. Casper, Richard Wenwei Yan, Wenxuan Liang, Chentao Wen, Koutarou D. Kimura, Kimara L. Targoff, Elizabeth M. C. Hillman*. Real-time volumetric microscopy of in vivo dynamics and large-scale samples with SCAPE 2.0. Nature Methods. 2019 Paper

8. Chentao Wen, Yukiko Ogura, Toshiya Matsushima*. Striatal and Tegmental Neurons Code Critical Signals for Temporal-Difference Learning of State Value in Domestic Chicks. Frontiers in neuroscience. 2016 Paper

Invited talk

(○: Presenter)

1. ○Chentao Wen, Kotaro Kimura, Shuichi Onami. Developing an Accurate Method for Tracking Signal Dynamics in Cell Populations within Deforming Organs, 第32回日本バイオイメージング学会学術集会, Sapporo, November 2023 

2. ○Chentao Wen, Kotaro Kimura. 3DeeCellTracker: a deep learning-based method for tracking cells in 3D time lapse image, The 15th IEEE International Conference on Nano/Molecular Medicine & Engineering (IEEE-NANOMED 2021), Online, November 2021

3. ○Kotaro Kimura, ○Chentao Wen. 「線虫×機械学習」で解明する脳機能と行動の動作原理、京都大学MACS教育プログラム「データ駆動生物学ワークショップ」 Online,  March 2021

4. ○Kotaro Kimura, ○Chentao Wen. C. エレガンスの情報処理〜分子レベルから全脳神経活動へ、北海道大学脳科学研究教育センターシンポジウム「感覚と運動の神経基盤の進化 〜非哺乳類脳から学ぶ計算原理〜」 Online,  November 2020

5. ○Chentao Wen. 人工知能技術による生命系画像と脳活動の解析、名古屋市立大学第28回「若手イブニングセミナー」Nagoya city University, Nagoya, Japan, December 2019

6. ○Chentao Wen, Kotaro Kimura. "Data-driven predictive models for information processing in the (small) brain" The dawn of data- and model-driven neuroscience, The 42nd Annual Meeting of the Japan Neuroscience Society, Niigata, Japan, July 2019