High-throughput platform for label-free sorting of 3D spheroids using deep learning

High-throughput platform for label-free sorting of 3D spheroids using deep learning

End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transplantable organs. Recognized as one of the promising solutions, tissue engineering aims at recreating functional tissues and organs in vitro. The integration of bioprinting technologies with biological...

Full description

Saved in:
Bibliographic Details
Main Authors: Claudia Sampaio da Silva, Julia Alicia Boos, Jonas Goldowsky, Manon Blache, Noa Schmid, Tim Heinemann, Christoph Netsch, Francesca Luongo, Stéphanie Boder-Pasche, Gilles Weder, Alba Pueyo Moliner, Roos-Anne Samsom, Ary Marsee, Kerstin Schneeberger, Ali Mirsaidi, Bart Spee, Thomas Valentin, Andreas Hierlemann, Vincent Revol
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
automation
high-throughput sorting
multi-cellular spheroids
3D bioprinting
machine learning
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1432737/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items