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.
D. F. Ker et al., "Phase Contrast Time-Lapse Microscopy Datasets with Automated and Manual Cell Tracking Annotations," Scientific Data, vol. 5, Nature Publishing Group, Nov 2018.
The definitive version is available at https://doi.org/10.1038/sdata.2018.237
Intelligent Systems Center
Keywords and Phrases
Algorithms; Animal; Cell line; Cytology; Mouse; Myoblast; Phase contrast microscopy; Procedures; Time lapse imaging; Cell Tracking; Mice; Microscopy; Phase-Contrast; Myoblasts; Time-Lapse Imaging
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01 Nov 2018