Nature Communications (Sep 2022)

Traject3d allows label-free identification of distinct co-occurring phenotypes within 3D culture by live imaging

  • Eva C. Freckmann,
  • Emma Sandilands,
  • Erin Cumming,
  • Matthew Neilson,
  • Alvaro Román-Fernández,
  • Konstantina Nikolatou,
  • Marisa Nacke,
  • Tamsin R. M. Lannagan,
  • Ann Hedley,
  • David Strachan,
  • Mark Salji,
  • Jennifer P. Morton,
  • Lynn McGarry,
  • Hing Y. Leung,
  • Owen J. Sansom,
  • Crispin J. Miller,
  • David M. Bryant

DOI
https://doi.org/10.1038/s41467-022-32958-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 21

Abstract

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There are currently a lack of tools to detect heterogeneity in 3D cultures. Here the authors report Traject3d as a framework to identify heterogeneous states in 3D culture and to understand how these give rise to distinct phenotypes using label-free multi-day time-lapse imaging.