Combining Live-Cell Imaging and AI-Driven Analysis for Ferroptosis Characterization
Authors: J. Trigg, G. Lovell, and N. Bevan | Last updated: February 2025
Overview
Ferroptosis, a regulated form of cell death, differs from apoptosis and offers a novel approach to targeting and eliminating cancer cells.
- Dynamic morphological changes linked to ferroptosis were captured using live-cell imaging, allowing for a detailed characterization of this cell death mechanism and its differences from apoptosis.
- We employed the Incucyte® AI Cell Health Analysis Software Module, powered by pre-trained neural networks, providing a robust solution for label-free cell segmentation and Live/Dead classification of ferroptotic cells.
- The Incucyte® Advanced Label-free Classification software was also utilized for machine learning-based classification of cells in the early stages of ferroptosis based on their morphology.
These findings demonstrate that the Incucyte® Live-Cell Analysis System, combined with advanced AI-driven analytics, is an invaluable platform for characterizing the dynamic process of ferroptotic cell death, offering insights into cellular mechanisms and enabling quantification across various cell types.
- Document type: Poster
- Page count: 1
- Read time: 5 minutes
Key Takeaways
- AI-driven Label-Free Quantification of Ferroptosis
- Live-Cell Imaging and Analysis Solutions
- Pharmacological Inhibition of Ferroptosis & Density Dependency
- Label-Free Identification of Early Ferroptosis
