Lee Seohyun ＬｅｅＳｅｏｈｙｕｎ

Researcher Number	00847973
Other IDs	https://orcid.org/0000-0002-0952-9547
Affiliation (Current)	2025: 東京大学, 大学院情報学環・学際情報学府, 助教
Affiliation (based on the past Project Information) *help	2025: 東京大学, 大学院情報学環・学際情報学府, 助教 2021 – 2023: 東京大学, 定量生命科学研究所, 特任助教 2020: 東京大学, 情報基盤センター, 特任研究員 2019: 東京大学, 大学院情報理工学系研究科, 特任研究員
Review Section/Research Field	Principal Investigator Basic Section 43060:System genome science-related / Basic Section 43040:Biophysics-related / 0701:Biology at molecular to cellular levels, and related fields Except Principal Investigator Medium-sized Section 57:Oral science and related fields
Keywords	Principal Investigator 小胞 / 細胞内物質輸送 / データ解析 / コンピュータービジョン / イメージプロセシング / ３次元マイクロスコピー / 3次元マイクロスコピー / 小胞運動 / イメージ処理 / エンドソーム … More / 細胞内輸送 / ディープラーニング / モータータンパク質 / 小胞体 / 機械学習 / 細胞骨格 … More Except Principal Investigator 歯周病 / small RNA / 細菌膜小胞 / 細菌由来膜小胞 / 外膜小胞 Less

がん細胞におけるヒト内在性レトロウイルスの発がん・抗がん性の両面的な挙動の解明Principal Investigator
- Principal Investigator
  
  Lee Seohyun
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 43060:System genome science-related
- Research Institution
  The University of Tokyo
Dynamic behavior and pathological significance of small RNA in outer membrane vesicles of periodontopathic bacteria
- Principal Investigator
  
  中尾龍馬
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
- Review Section
  
  Medium-sized Section 57:Oral science and related fields
- Research Institution
  National Institute of Infectious Diseases
Development of cell image data analysis method for highly accurate 3D vesicle movement detection based on computer vision techniquesPrincipal Investigator
- Principal Investigator
  
  Lee Seohyun
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 43040:Biophysics-related
- Research Institution
  The University of Tokyo
Understanding the intracellular transport of endosomes using machine learning approachPrincipal Investigator
- Principal Investigator
  
  Lee Seohyun
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0701:Biology at molecular to cellular levels, and related fields
- Research Institution
  The University of Tokyo

All 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap2021
- Author(s)
  Lee Seohyun、Kim Hyuno、Higuchi Hideo、Ishikawa Masatoshi
- Journal Title
  
  Sensors
  
  Volume: 21 Issue: 2 Pages: 1-13
- DOI
  10.3390/s21020522
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K15753, KAKENHI-PROJECT-20H05704, KAKENHI-PROJECT-19K23717, KAKENHI-PROJECT-19H03189
[Journal Article] Extended Dual-Focus Microscopy for Ratiometric-Based 3D Movement Tracking2020
- Author(s)
  Lee Seohyun、Kim Hyuno、Higuchi Hideo
- Journal Title
  
  Applied Sciences
  
  Volume: 10 Issue: 18 Pages: 1-12
- DOI
  10.3390/app10186243
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K15753, KAKENHI-PROJECT-19K23717
[Presentation] Automation of detecting and tracking 3D vesicle transport using dual-focus optics2023
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi
- Organizer
  SPIE Photonics West (Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Understanding of vesicle transport using machine learning and image processing technology2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Masatoshi Ishikawa, Hideo Higuchi
- Organizer
  The annual meeting of the Biophysical Society of Japan
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Deep learning approach for metastatic cancer cell classification using live-cell imaging data2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West (Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Deep learning approach for metastatic cancer cell classification using live-cell imaging data2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West BiOS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] An automatic detection and tracking method for the 3D reconstruction of vesicle movement in a living cell2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi
- Organizer
  日本生物物理学会
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] A Generative Adversarial Network Approach to Metastatic Cancer Cell Images2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa, Ryuichiro Nakato
- Organizer
  International Conference on Artificial Intelligence in Information and Communication
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] A Generative Adversarial Network Approach to Metastatic Cancer Cell Images2022
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa, Ryuichiro Natato
- Organizer
  2022 IEEE International Conference on Artificial Intelligence in Information and Communication
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] A machine learning approach to transport categorization for vesicle tracking data analysis2021
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West BiOS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] A machine learning approach to transport categorization for vesicle tracking data analysis2021
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West BiOS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23717
[Presentation] Classification of Metastatic Breast Cancer Cell using Deep Learning Approach2021
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  2021 IEEE International Conference on Artificial Intelligence in Information and Communication
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Optical flow of vesicles: Computer vision approach for endocytosis of nanoparticles in a living cell2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West BiOS 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Estimation of Vesicle Transport near the Cellular Membrane using Image Processing2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  2020 OSA Imaging and Applied Optics Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23717
[Presentation] Estimation of Vesicle Transport near the Cellular Membrane using Image Processing2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  2020 OSA Imaging and Applied Optics Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Categorization of transfer type for endosomes in complex cytoskeletal network2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Masatoshi Ishikawa, Hideo Higuchi
- Organizer
  64th Annual Meeting of the Biophysical Society
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23717
[Presentation] Visualization and Data Analysis for Intracellular Transport using Computer Vision Techniques2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  2020 IEEE Sensors Applications Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23717
[Presentation] Visualization and Data Analysis for Intracellular Transport using Computer Vision Techniques2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  2020 IEEE Sensors Applications Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K15753
[Presentation] Optical flow of vesicles: Computer vision approach for endocytosis of nanoparticles in a living cell2020
- Author(s)
  Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa
- Organizer
  SPIE Photonics West BiOS 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23717

1. 中尾龍馬 (10370959)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 矢原寛子 (10757488)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 安部公博 (10748940)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Lee Seohyun Ｌｅｅ Ｓｅｏｈｙｕｎ

Research Projects

Research Products

Co-Researchers

がん細胞におけるヒト内在性レトロウイルスの発がん・抗がん性の両面的な挙動の解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Dynamic behavior and pathological significance of small RNA in outer membrane vesicles of periodontopathic bacteria

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of cell image data analysis method for highly accurate 3D vesicle movement detection based on computer vision techniquesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Understanding the intracellular transport of endosomes using machine learning approachPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Visualization Method for the Cell-Level Vesicle Transport Using Optical Flow and a Diverging Colormap2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Extended Dual-Focus Microscopy for Ratiometric-Based 3D Movement Tracking2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Automation of detecting and tracking 3D vesicle transport using dual-focus optics2023

Author(s)

Organizer

Data Source

[Presentation] Understanding of vesicle transport using machine learning and image processing technology2022

Author(s)

Organizer

Data Source

[Presentation] Deep learning approach for metastatic cancer cell classification using live-cell imaging data2022

Author(s)

Organizer

Data Source

[Presentation] Deep learning approach for metastatic cancer cell classification using live-cell imaging data2022

Author(s)

Organizer

Data Source

[Presentation] An automatic detection and tracking method for the 3D reconstruction of vesicle movement in a living cell2022

Author(s)

Organizer

Data Source

[Presentation] A Generative Adversarial Network Approach to Metastatic Cancer Cell Images2022

Author(s)

Organizer

Data Source

[Presentation] A Generative Adversarial Network Approach to Metastatic Cancer Cell Images2022

Author(s)

Organizer

Data Source

[Presentation] A machine learning approach to transport categorization for vesicle tracking data analysis2021

Author(s)

Organizer

Data Source

[Presentation] A machine learning approach to transport categorization for vesicle tracking data analysis2021

Author(s)

Organizer

Data Source

[Presentation] Classification of Metastatic Breast Cancer Cell using Deep Learning Approach2021

Author(s)

Organizer

Data Source

[Presentation] Optical flow of vesicles: Computer vision approach for endocytosis of nanoparticles in a living cell2020

Author(s)

Lee Seohyun ＬｅｅＳｅｏｈｙｕｎ