Revolutionizing Live-Cell Imaging with AI: A Label-Free Approach to Assess Viability

As drug discovery continues to advance, researchers are increasingly turning to more complex and relevant biological models to better understand the mechanisms of disease and develop effective treatments. However, these models often require sophisticated methods of analysis that provide powerful and meaningful analysis of more complex images and behavior.

This move towards more relevant biological models is driving the development of new and innovative methods of analysis for drug discovery that have the potential to revolutionize our understanding of disease and lead to more effective treatments.

Explore how to improve label-free image analysis by integrating artificial intelligence with the use of the Incucyte^® AI Confluence Image Analysis Workflow.

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Jasmine Trigg

Scientist
Sartorius

Jasmine is a Scientist at Sartorius as part of the BioAnalytics group. Over the past couple of years, she has worked across multiple research areas developing cellular assays and analytical tools to extend the suite of Incucyte^® live-cell analysis applications. Jasmine has a background in Neuroscience and Genetic Manipulation and her earlier work focused on using a combined structural and molecular biology approach to assess disease-associated proteins implicated in Alzheimer’s disease.