3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images

3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images

Despite recent improvements in microscope technologies, segmenting and tracking cells in three-dimensional time-lapse images (3D + T images) to extract their dynamic positions and activities remains a considerable bottleneck in the field. We developed a deep learning-based software pipeline, 3DeeCel...

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Bibliographic Details
Main Authors: 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 MC Hillman, Koutarou D Kimura
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-03-01
Series:eLife
Subjects:
cell tracking
bioimaging
deep learning
quantitative biology
Online Access:https://elifesciences.org/articles/59187

Internet

https://elifesciences.org/articles/59187

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