Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data

By F. Amat, W. Lemon, Daniel P. Mossing, K. McDole, Yinan Wan, Kristin Branson, Eugene W. Myers, Philipp J. Keller. Nature Methods, 2014

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Deep learning for cellular image analysis (2019, background): “Two recent investigations approached cell tracking in live-cell movies with probabilistic models 121,122 and active contours 123 , with good success.”
Cell Detection with Star-convex Polygons (2018, background): “Examples include high-content screens of variations in cell phenotypes [2], or the identiﬁcation of developmental lineages of dividing cells [1,17].”
An Objective Comparison of Cell Tracking Algorithms (2017, unknown): “This affected, in particular, the submissions attempting to meaningfully solve the 3D tracking problems in embryos that are the most challenging datasets and for which potent methods are published and available 32,33 .”