Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations.

Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations.
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DOI:
10.1038/sdata.2018.237
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发表时间:
2018-11-13
期刊:
影响因子:
9.8
通讯作者:
Campbell PG
Campbell PG
中科院分区:
综合性期刊2区
文献类型:
--
作者:
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 PG

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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.
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