Nature Communications (Feb 2016)

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

  • 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

DOI
https://doi.org/10.1038/ncomms9674
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 10

Abstract

Read online

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.