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

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

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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-32958-x

Internet

https://doi.org/10.1038/s41467-022-32958-x

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