AACR 2023 Scientific Poster
AI-driven image analysis enables simplified, label-free cytotoxicity screening
Overview
The increasing use of precious, patient-derived cells has driven the need for non-perturbing and label-free cell measurements. Incucyte® Live-Cell Analysis Systems enable long-term imaging of biology within a cell culture incubator to minimize cell disturbance.
To gain insight into cell growth and viability label free, we developed the Incucyte® AI Cell Health Analysis Software Module which uses two deep neural networks to robustly segment cells and infer cell viability in a single step. These AI models were trained on a wide diversity of cell morphologies to ensure the analysis is applicable across a broad variety of tumor cell types.
Key Takeaways
- Incucyte AI Cell Health Analysis enables accurate cell segmentation and label-free live/dead cell classification
- AI-driven segmentation is highly accurate and adapts to multiple cell morphologies
- AI-driven cell viability measurements enable label-free quantification of cytotoxic effects
- Incucyte AI Cell Health Analysis provides insight into cell behavior and benefits multiple research areas
Document type: Poster
Read time: 5 minutes
Last updated: March 2023
Author: Gillian Lovell
Audience: Oncologists, Cell Biologists, Microscopists
Applications covered: Live cell analysis, image analysis, cytotoxicity, label-free cell assays
AACR 2023 Scientific Poster preview
