Cell Trajectory Clustering: Towards the Automated Identification of Morphogenetic Fields in Animal Embryogenesis

Juan Raphael Diaz Simões, Paul Bourgine, Denis Grebenkov, Nadine Peyriéras

Abstract

The recent availability of complete cell lineages from live imaging data opens the way to novel methodologies for the automated analysis of cell dynamics in animal embryogenesis. We propose a method for the calculation of measure-based dissimilarities between cells. These dissimilarity measures allow the use of clustering algorithms for the inference of time-persistent patterns. The method is applied to the digital cell lineages reconstructed from live zebrafish embryos imaged from 6 to 13 hours post fertilization. We show that the position and velocity of cells are sufficient to identify relevant morphological features including bilateral symmetry and coherent cell domains. The method is flexible enough to readily integrate larger sets of measures opening the way to the automated identification of morphogenetic fields.

References

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Paper Citation


in Harvard Style

Diaz Simões J., Bourgine P., Grebenkov D. and Peyriéras N. (2017). Cell Trajectory Clustering: Towards the Automated Identification of Morphogenetic Fields in Animal Embryogenesis . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 746-752. DOI: 10.5220/0006259407460752


in Bibtex Style

@conference{icpram17,
author={Juan Raphael Diaz Simões and Paul Bourgine and Denis Grebenkov and Nadine Peyriéras},
title={Cell Trajectory Clustering: Towards the Automated Identification of Morphogenetic Fields in Animal Embryogenesis},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={746-752},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006259407460752},
isbn={978-989-758-222-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Cell Trajectory Clustering: Towards the Automated Identification of Morphogenetic Fields in Animal Embryogenesis
SN - 978-989-758-222-6
AU - Diaz Simões J.
AU - Bourgine P.
AU - Grebenkov D.
AU - Peyriéras N.
PY - 2017
SP - 746
EP - 752
DO - 10.5220/0006259407460752