Explore innovative AI techniques for analyzing cell morphology and viability, focusing on label-free imaging for live-cell monitoring. Traditional methods often rely on fluorescent markers, which can alter cell behavior. The Incucyte® AI Cell Health (AI CH) Analysis tool accurately segments cell boundaries and classifies cells as live or dead, using a widely trained neural network. This tool, combined with Advanced Label-free Classification (ALFC), allows for comprehensive morphological analysis, addressing challenges posed by dynamic cell behaviours and varied morphologies.
Applications of AI CH and ALFC include tracking the differentiation of THP-1 monocytes into macrophages and analyzing microglia viability and activation. These techniques enable accurate segmentation and classification, providing insights into cell behavior and treatment responses. Additionally, AI CH and ALFC can identify non-toxic drug effects and ferroptotic cell death, offering critical information on mechanisms of action.
By integrating AI and machine learning, researchers can now access enhanced live-cell analysis, enabling robust, data-rich insights into cellular behavior. These advancements pave the way for more effective precision medicine and translational research, transforming how researchers understand and respond to complex cellular dynamics.