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.


Computer Science

Research Center/Lab(s)

Intelligent Systems Center


This work was supported by NIH grants RO1EB004343 and RO1EB007369 as well as funding from the Pennsylvania Infrastructure Technology Alliance (PITA).

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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Document Type

Article - Journal

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Final Version

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© 2018 The Author(s), All rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Publication Date

01 Nov 2018

PubMed ID