A workflow to process 3D+time microscopy images of developing organisms and reconstruct their cell lineage

Autor: Emmanuel Faure, Thierry Savy, Barbara Rizzi, Camilo Melani, Olga Stašová, Dimitri Fabrèges, Róbert Špir, Mark Hammons, Róbert Čúnderlík, Gaëlle Recher, Benoît Lombardot, Louise Duloquin, Ingrid Colin, Jozef Kollár, Sophie Desnoulez, Pierre Affaticati, Benoît Maury, Adeline Boyreau, Jean-Yves Nief, Pascal Calvat, Philippe Vernier, Monique Frain, Georges Lutfalla, Yannick Kergosien, Pierre Suret, Mariana Remešíková, René Doursat, Alessandro Sarti, Karol Mikula, Nadine Peyriéras, Paul Bourgine
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Nature Communications, Vol 7, Iss 1, Pp 1-10 (2016)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/ncomms9674
Popis: Quantitative analysis of embryonic cell dynamics from large data sets remains a major challenge in the field of developmental biology. Here the authors develop software and a workflow to reconstruct cell lineage trees from 3D time lapse imaging data sets from several developing organisms including zebrafish, tunicates and sea urchins.
Databáze: Directory of Open Access Journals