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

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
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-21 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1ea5c3909d0472cb9c9c41a696d4ec5
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-32958-x