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Deep-learning-based flexible pipeline for segmenting and tracking cells in 3D image time series for whole brain imaging

View ORCID ProfileChentao Wen, Takuya Miura, Yukako Fujie, Takayuki Teramoto, Takeshi Ishihara, Koutarou D. Kimura
doi: https://doi.org/10.1101/385567
Chentao Wen
1Department of Biological Sciences, Graduate School of Science, Osaka University, Toyonaka, Osaka, Japan
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  • For correspondence: chintou.on@gmail.com
Takuya Miura
1Department of Biological Sciences, Graduate School of Science, Osaka University, Toyonaka, Osaka, Japan
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Yukako Fujie
2RIKEN center for Advanced Intelligence Project, Tokyo, Japan
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Takayuki Teramoto
3Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan
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Takeshi Ishihara
3Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan
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Koutarou D. Kimura
1Department of Biological Sciences, Graduate School of Science, Osaka University, Toyonaka, Osaka, Japan
2RIKEN center for Advanced Intelligence Project, Tokyo, Japan
3Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan
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Posted August 06, 2018.
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Deep-learning-based flexible pipeline for segmenting and tracking cells in 3D image time series for whole brain imaging
Chentao Wen, Takuya Miura, Yukako Fujie, Takayuki Teramoto, Takeshi Ishihara, Koutarou D. Kimura
bioRxiv 385567; doi: https://doi.org/10.1101/385567
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Deep-learning-based flexible pipeline for segmenting and tracking cells in 3D image time series for whole brain imaging
Chentao Wen, Takuya Miura, Yukako Fujie, Takayuki Teramoto, Takeshi Ishihara, Koutarou D. Kimura
bioRxiv 385567; doi: https://doi.org/10.1101/385567

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