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• W2901300079 abstract "Abstract Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these datasets and were validated using a two-tier system of manual curation. This comprehensive, validated dataset will be useful in advancing the development of computer-aided cell tracking algorithms and function as a benchmark, providing an invaluable opportunity to deepen our understanding of individual and population-based cell dynamics for biomedical research." @default.
• W2901300079 created "2018-11-29" @default.
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• W2901300079 date "2018-11-13" @default.
• W2901300079 modified "2023-10-16" @default.
• W2901300079 title "Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations" @default.
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• W2901300079 doi "https://doi.org/10.1038/sdata.2018.237" @default.
• W2901300079 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6233481" @default.
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• W2901300079 hasPublicationYear "2018" @default.
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