In Focus: AI for cell culture imaging and analysis
Live cell imaging and analysis is a major component of cell therapy development, allowing measurement of critical factors such as cell proliferation, cellular kinetics, protein localization and more without risking the viability of the cells. But images are most valuable when they are translated into consistent, quantitative data, as this eliminates subjectivity and reduces variability and user bias.
In this in Focus feature, we will investigate how AI can help us do this. Check out our video, infographic and expert interview to explore the AI systems that are helping researchers and developers make the most out of their cell culture imaging and evaluation.
Infographic
How can cell culture monitoring and high content screening be applied to your cell therapy development process? This infographic shows where these tools can be utilized to give you quantitative data for a host of parameters.
Interview
AI-dvancing cell and gene therapies: an interview with Manoel Veiga
In this interview, we spoke to Manoel Veiga about how AI technology translates images into quantitative data and what is involved in implementing high-content screening solutions in your lab.
Additional resources
In Focus: cell culture quality control
In this In Focus, discover how automating your cell culture monitoring can overcome challenges from development to scale-up. Learn how automation can provide you with quantitative, reliable results and allow you to optimize conditions, and ensure downstream success.
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