Beyond genealogies

Mutual information of causal paths to analyse single cell tracking data

Nico Scherf, Thomas Zerjatke, Konstantin Klemm, Ingmar Glauche, Ingo Roeder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Single cell tracking, based on the computerised analysis of time-lapse movies, is a sophisticated experimental technique to quantify single cell dynamics in time and space. Although the resulting cellular genealogies comprehensively describe the divisional history of each cell, there are many open questions regarding the statistical analysis of this type of data. In particular, it is unclear, how tracking uncertainties or spatial information of cellular development can correctly be incorporated into the analysis. Here we propose a generalised description of single cell tracking data by spatiotemporal networks that can account for ambiguities in cell assignment as well as for spatial relations between cells. We present a way to measure correlations among cell states by analysing the mutual information in state space considering causal (time-respecting) paths and illustrate our approach by a corresponding example. We conclude that a comprehensive spatiotemporal description of single cell tracking data is ultimately necessary to fully exploit the information obtained by time-lapse imaging.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages440-443
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period4/7/134/11/13

Fingerprint

Cell Tracking
Genealogy and Heraldry
Statistical methods
Imaging techniques
Time-Lapse Imaging
Statistical Data Interpretation
Motion Pictures
Uncertainty
History

Keywords

  • cell tracking
  • information theory
  • lineage trees
  • stem cells
  • temporal networks

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Scherf, N., Zerjatke, T., Klemm, K., Glauche, I., & Roeder, I. (2013). Beyond genealogies: Mutual information of causal paths to analyse single cell tracking data. In Proceedings - International Symposium on Biomedical Imaging (pp. 440-443). [6556506] https://doi.org/10.1109/ISBI.2013.6556506

Beyond genealogies : Mutual information of causal paths to analyse single cell tracking data. / Scherf, Nico; Zerjatke, Thomas; Klemm, Konstantin; Glauche, Ingmar; Roeder, Ingo.

Proceedings - International Symposium on Biomedical Imaging. 2013. p. 440-443 6556506.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scherf, N, Zerjatke, T, Klemm, K, Glauche, I & Roeder, I 2013, Beyond genealogies: Mutual information of causal paths to analyse single cell tracking data. in Proceedings - International Symposium on Biomedical Imaging., 6556506, pp. 440-443, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 4/7/13. https://doi.org/10.1109/ISBI.2013.6556506
Scherf N, Zerjatke T, Klemm K, Glauche I, Roeder I. Beyond genealogies: Mutual information of causal paths to analyse single cell tracking data. In Proceedings - International Symposium on Biomedical Imaging. 2013. p. 440-443. 6556506 https://doi.org/10.1109/ISBI.2013.6556506
Scherf, Nico ; Zerjatke, Thomas ; Klemm, Konstantin ; Glauche, Ingmar ; Roeder, Ingo. / Beyond genealogies : Mutual information of causal paths to analyse single cell tracking data. Proceedings - International Symposium on Biomedical Imaging. 2013. pp. 440-443
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