Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images

Hideo Yokota, Kuniya Abe, Yuan-Hsiang Chang, Dooseon Cho, Ming-Dar Tsai, Pin-Han Huang. Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images. In 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021. pages 2944-2947, IEEE, 2021. [doi]

@inproceedings{YokotaACCTH21,
  title = {Visualization and quantitative analyses for mouse embryonic stem cell tracking by manipulating hierarchical data structures using time-lapse confocal microscopy images},
  author = {Hideo Yokota and Kuniya Abe and Yuan-Hsiang Chang and Dooseon Cho and Ming-Dar Tsai and Pin-Han Huang},
  year = {2021},
  doi = {10.1109/EMBC46164.2021.9629490},
  url = {https://doi.org/10.1109/EMBC46164.2021.9629490},
  researchr = {https://researchr.org/publication/YokotaACCTH21},
  cites = {0},
  citedby = {0},
  pages = {2944-2947},
  booktitle = {43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-1179-7},
}