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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Bibliografske podrobnosti
izdano v:eLife
Main Authors: Wen, Chentao, Miura, Takuya, Voleti, Venkatakaushik, Yamaguchi, Kazushi, Tsutsumi, Motosuke, Yamamoto, Kei, Otomo, Kohei, Fujie, Yukako, Teramoto, Takayuki, Ishihara, Takeshi, Aoki, Kazuhiro, Nemoto, Tomomi, Hillman, Elizabeth MC, Kimura, Koutarou D
Format: Artigo
Jezik:Inglês
Izdano: eLife Sciences Publications, Ltd 2021
Teme:
Computational and Systems Biology
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC8009680/
https://ncbi.nlm.nih.gov/pubmed/33781383
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.59187
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