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.
journal_name
Sci Datajournal_title
Scientific dataauthors
Ker DFE,Eom S,Sanami S,Bise R,Pascale C,Yin Z,Huh SI,Osuna-Highley E,Junkers SN,Helfrich CJ,Liang PY,Pan J,Jeong S,Kang SS,Liu J,Nicholson R,Sandbothe MF,Van PT,Liu A,Chen M,Kanade T,Weiss LE,Campbell PGdoi
10.1038/sdata.2018.237subject
Has Abstractpub_date
2018-11-13 00:00:00pages
180237issn
2052-4463pii
sdata2018237journal_volume
5pub_type
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