Enhancing dynamic cell health insights with AI-driven analysis

Read the poster or watch the video for insights into:  Combining live-cell imaging and AI into image analysis workflows to empower accurate quantification of a broad spectrum of cellular models, creating a powerful approach to aid data-driven decisions  Why these innovative technologies, based on neural network algorithms, are more complex than traditional image analysis and facilitate more accurate segmentation of heterogenous cell morphologies whilst minimizing user-introduced bias  Performing AI Cell Health optional fluorescence analysis to gain additional information into cell health and function, such as examining phagocytosis, caspase-dependent apoptotic mechanisms, or cell cycle perturbance

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