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Authors: Juan Raphael Diaz Simões 1 ; Paul Bourgine 2 ; Denis Grebenkov 1 and Nadine Peyriéras 1

Affiliations: 1 Université Paris-Saclay, France ; 2 Université Paris-Saclay and Complex Systems Institute Paris Île-de-France, France

ISBN: 978-989-758-222-6

Keyword(s): Animal Embryogenesis, Cell Lineage, Clustering, Path Integrals.

Related Ontology Subjects/Areas/Topics: Applications ; Bioinformatics and Systems Biology ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Clustering ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Software Engineering ; Telecommunications ; Theory and Methods

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.

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Paper citation in several formats:
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

@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},
}

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

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