Time-lapse 3D imaging data of cell nuclei and calcium dynamics in C. elegans
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- Wen Chentao
- 作成者
- Graduate School of Natural Sciences, Nagoya City University
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- Miura Takuya
- 作成者
- Department of Biological Sciences, Graduate School of Science, Osaka University
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- Voleti Venkatakaushik
- 作成者
- Departments of Biomedical Engineering and Radiology and the Zuckerman Mind Brain Behavior Institute, Columbia University, USA
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- Fujie Yukako
- 作成者
- Department of Biological Sciences, Graduate School of Science, Osaka University
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- Teramoto Takayuki
- 作成者
- Department of Biology, Faculty of Sciences, Kyushu University
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- Ishihara Takeshi
- 作成者
- Department of Biology, Faculty of Sciences, Kyushu University
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- Hillman Elizabeth
- 作成者
- Departments of Biomedical Engineering and Radiology and the Zuckerman Mind Brain Behavior Institute, Columbia University, USA
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- Kimura Koutarou
- 作成者
- Graduate School of Natural Sciences, Nagoya City University
メタデータ
- 公開日
- 2020
- 利用開始日 (公開予定日)
- 2020
- 資源種別
- Dataset
- サイズ
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- 22.41 GB
- 権利情報
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- CC BY
- DOI
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- 10.24631/ssbd.repos.2019.10.002
- 公開者
- Graduate School of Natural Sciences, Nagoya City University
- データ作成者 (e-Rad)
-
- Wen Chentao
- Miura Takuya
- Voleti Venkatakaushik
- Fujie Yukako
- Teramoto Takayuki
- Ishihara Takeshi
- Hillman Elizabeth
- Kimura Koutarou (20370116)
説明
Optical monitoring of cell movement and activity in three-dimensional space over time (3D + T imaging) has become remarkably easier. However, the development of software for segregating cell regions from the background and for tracking their dynamic positions has lagged. Individual laboratories still need to develop their own software due to different optical systems and imaging conditions. We have developed a deep learning-based software pipeline, 3DeeCellTracker, for flexible segmentation and tracking of cells in 3D + T images of deforming organs. The data was used to evaluate the performance of 3DeeCellTracker.
