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TraCurate: efficiently curating cell tracks

View ORCID ProfileS. Wagner, K. Thierbach, View ORCID ProfileT. Zerjatke, View ORCID ProfileI. Glauche, View ORCID ProfileI. Roeder, View ORCID ProfileN. Scherf
doi: https://doi.org/10.1101/2020.02.14.936740
S. Wagner
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
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K. Thierbach
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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T. Zerjatke
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
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  • ORCID record for T. Zerjatke
I. Glauche
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
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I. Roeder
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
2National Center of Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany
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N. Scherf
1Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, TU Dresden, Dresden, Germany
3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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  • For correspondence: nico.scherf@tu-dresden.de
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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.

Footnotes

  • https://tracurate.gitlab.io/

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted February 14, 2020.
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TraCurate: efficiently curating cell tracks
S. Wagner, K. Thierbach, T. Zerjatke, I. Glauche, I. Roeder, N. Scherf
bioRxiv 2020.02.14.936740; doi: https://doi.org/10.1101/2020.02.14.936740
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TraCurate: efficiently curating cell tracks
S. Wagner, K. Thierbach, T. Zerjatke, I. Glauche, I. Roeder, N. Scherf
bioRxiv 2020.02.14.936740; doi: https://doi.org/10.1101/2020.02.14.936740

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