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

ABSTRACT: 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 3D models, such as multi-cellular spheroids, has enabled the fabrication of tissue constructs that better mimic complex structures and in vivo functionality of organs. However, the lack of methods for large-scale production of homogeneous spheroids has hindered the upscaling of tissue fabrication. In this work, we introduce a fully automated platform, designed for high-throughput sorting of 3D spheroids based on label-free analysis of brightfield images. The compact platform is com

SUBMITTER: Sampaio da Silva C 

PROVIDER: S-EPMC11663632 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature