APPLICATION NOTE
Monitoring of T-cell invasions assay using a 3D spheroid model
Easily acquire 3D and 4D T-cell datasets and analyze phenotypic evolution over time.
Despite the boom of CAR T-cell therapies, the discovery of novel immunotherapies that specifically enhance T-cell response against cancer cells remains a challenge limited by the absence of robust, in vitro models to evaluate these immunotherapies throughout their development.
In this application note, we describe a workflow for the generation of 3D tumor spheroids co-cultured with T-cells as a proof-of-concept model for CAR T assays. Further, we developed an image analysis approach that uses deep learning to accurately segment biological objects of interest and machine learning to quantify the phenotypic changes in the spheroids using only brightfield images.
Learn more about the systems behind the methods
More Great Resources
Application Note
Automated dispensing, monitoring, and assay development of hydrogel-based cellular models
3D cellular models that more accurately represent various microenvironments are incredibly important for accurate drug…
Scientific Poster
Image-based phenotypic profiling using Cell Painting in a 3D breast cancer spheroid model
Most potential oncology drugs fail the drug development pipeline, despite having promising data for their efficacy in vitro…
Application Note
3D Immune Cell Migration
Cell migration is an essential process for many biological phenomena such as early embryonic development and immune cell…