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Improved tracking via cell region fingerprints

TracX shows that fast proofreading of track assignments leads to improved cell tracking performance.

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Fig. 1: Cell tracking with TracX.

References

  1. Jamali, N., Dobson, E. T. A., Eliceiri, K. W., Carpenter, A. E. & Cimini, B. A. Biol. Imaging 1, e4 (2022).

    Article  Google Scholar 

  2. Ulman, V. et al. Nat. Methods 14, 1141–1152 (2017).

    Article  CAS  Google Scholar 

  3. Versari, C. et al. J. R. Soc. Interface 14, 20160705 (2017).

    Article  Google Scholar 

  4. Cuny, A. P., Ponti, A., Kündig, T., Rudolf, F. & Stelling, J. Nat. Methods https://doi.org/10.1038/s41592-022-01603-2 (2022).

  5. Mayer, C., Dimopoulos, S., Rudolf, F. & Stelling, J. Curr. Protoc. Mol. Biol. 14, Unit 14.22 (2013).

    PubMed  Google Scholar 

  6. Ahmed, N. Digit. Signal Process. 1, 4–5 (1991).

    Article  Google Scholar 

  7. Stringer, C., Wang, T., Michaelos, M. & Pachitariu, M. Nat. Methods 18, 100–106 (2021).

    Article  CAS  Google Scholar 

  8. Stirling, D. R. et al. BMC Bioinformatics 22, 433 (2021).

    Article  Google Scholar 

  9. Ershov, D. et al. Preprint at bioRxiv https://doi.org/10.1101/2021.09.03.458852 (2021).

  10. Löffler, K. & Mikut, R. Preprint at arXiv https://doi.org/10.48550/arXiv.2204.10713 (2022).

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Acknowledgements

This work was supported by the National Institutes of Health grant P41 GM135019 as well as grant number 2020-225720 from the Chan Zuckerberg Initiative DAF, an advised fund of the Silicon Valley Community Foundation.

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Correspondence to Beth A. Cimini.

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Cimini, B.A. Improved tracking via cell region fingerprints. Nat Methods 19, 1177–1178 (2022). https://doi.org/10.1038/s41592-022-01525-z

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