Automated cell lineage tracing in Caenorhabditis elegans.

By Z. Bao, J. Murray, Thomas J. Boyle, S. Ooi, M. J. Sandel, R. Waterston. Proceedings of the National Academy of Sciences of the United States of America, 2006

375 citations recorded by the source corpus.

Subfields: Aging, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/9c3c5f169a40c3bb723562f57abf0c1f8eb5ece7

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Citations in the corpus

Fiji - an Open Source platform for biological image analysis (2012, background): “…reconstruct image volumes from many overlapping parts (registration) 10,11 , to search for biologically relevant features (segmentation) 12 , to follow relevant objects across space and time (tracking) 13,14 and to compare specimens through mapping to anatomical or cellular digital atlases 15,16 .”
Cell Population Tracking and Lineage Construction with Spatiotemporal Context (2007, background): “This capability is valuable for several areas including stem cell research, tissue engineering, drug discovery, genomics, and proteomics (Huang et al., 1999; Patrick and Wu, 2003; Braun et al., 2003; Al-Kofahi et al., 2006; Bao et al., 2006).”
Tracking in cell and developmental biology. (2009, methodology): “In the endeavor to track embryogenesis much further down the line, alternative methods have been developed, based on fitting spherical models for segmentation and using heuristics about the shape and size of the nuclei at the various stages of the cell cycle to disambiguate potential matches between”
TrackMate: An open and extensible platform for single-particle tracking. (2017, background): “This problem is classically solved by varying the illumination power as the focus moves [25], but again this is not applicable to our study since we want to use a constant illumination power throughout a single experiment.”
Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data (2014, background): “Second, only a single computer workstation is needed, and computation time scales linearly with cell counts.”
Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage (2010, background): “, and lineage tracing during embryogenesis in Caenorhabditis elegans”
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy (2010, background): “Time-lapse studies of live cells have aimed at studying cell migration, cell cycle [12], [13], [17] and growth control [14], proliferation [ 15 ], [18], [19], adhesion [16], and many other functions, under various conditions.”
Building quantitative, three dimensional atlases of gene expression and morphology at cellular resolution (2013, background): “Quantitative maps of gene expression in each cell of an embryo have been produced 9–13 (Figure 1c).”