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...
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 |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2021-03-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/59187 |
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