OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics

Jonathan M. Matthews, Brooke Schuster, Sara Saheb Kashaf, Ping Liu, Rakefet Ben-Yishay, Dana Ishay-Ronen, Evgeny Izumchenko, Le Shen, Christopher R. Weber, Margaret Bielski, Sonia S. Kupfer, Mustafa Bilgic 0001, Andrey Rzhetsky, Savas Tay. OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. PLoS Computational Biology, 18(11):1010584, November 2022. [doi]

@article{MatthewsSKLBIISWBKBRT22,
  title = {OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics},
  author = {Jonathan M. Matthews and Brooke Schuster and Sara Saheb Kashaf and Ping Liu and Rakefet Ben-Yishay and Dana Ishay-Ronen and Evgeny Izumchenko and Le Shen and Christopher R. Weber and Margaret Bielski and Sonia S. Kupfer and Mustafa Bilgic 0001 and Andrey Rzhetsky and Savas Tay},
  year = {2022},
  month = {November},
  doi = {10.1371/journal.pcbi.1010584},
  url = {https://doi.org/10.1371/journal.pcbi.1010584},
  researchr = {https://researchr.org/publication/MatthewsSKLBIISWBKBRT22},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {18},
  number = {11},
  pages = {1010584},
}