@inproceedings{52bee82ffdb14d549162da634c3099cb,
title = "Cell trajectory clustering: Towards the automated identification of morphogenetic fields in animal embryogenesis",
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.",
keywords = "Animal embryogenesis, Cell lineage, Clustering, Path integrals",
author = "\{Diaz Sim{\~o}es\}, \{Juan Raphael\} and Paul Bourgine and Denis Grebenkov and Nadine Peyri{\'e}ras",
note = "Publisher Copyright: {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 ; Conference date: 24-02-2017 Through 26-02-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.5220/0006259407460752",
language = "English",
series = "ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods",
publisher = "SciTePress",
pages = "746--752",
editor = "\{De Marsico\}, \{Maria De\} and \{di Baja\}, \{Gabriella Sanniti\} and Ana Fred",
booktitle = "ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods",
}