TraCurate: Efficiently curating cell tracks

Wagner, S.; Thierbach, K.; Zerjatke, T.; Glauche, I.; Roeder, I.; Scherf, Nico

doi:10.1101/2020.02.14.936740

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TraCurate: Efficiently curating cell tracks

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Scherf, Nico
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Wagner, S., Thierbach, K., Zerjatke, T., Glauche, I., Roeder, I., & Scherf, N. (2020). TraCurate: Efficiently curating cell tracks. bioRxiv. doi:10.1101/2020.02.14.936740.

Cite as: https://hdl.handle.net/21.11116/0000-0007-D264-B

Abstract

TraCurate is an open-source software tool to curate and manually annotate cell tracking data from time-lapse microscopy. Although many studies of cellular behavior require high-quality, long-term observations across generations of cells, automated cell tracking is often imperfect and typically yields fragmented results that still contain many errors. TraCurate provides the functionality for the curation and correction of cell tracking data with minimal user interaction and expenditure of time and supports the extraction of complete cell tracks and cellular genealogies from experimental data. Source code and binary packages for Linux, macOS and Windows are available at https://tracurate.gitlab.io/, as well as all other complementary tools described herein.