Artificial intelligence enhances label-free live-cell imaging

As cellular models are progressively increasing in complexity this has driven the need for label-free and non-perturbing approaches to accurately quantify dynamic cellular processes. The incorporation of artificial intelligence (AI) and advanced machine learning (ML) into image analysis workflows is now streamlining this process and enabling robust, user-friendly quantification of a wide range of cellular models.

This eBook provides an overview of recent label-free image analysis developments and focuses on how AI-driven image analysis is transforming live-cell imaging. This free guide will also highlight:

• How intuitive label-free analysis simplifies quantification of complex biological behavior
• The application of label-free analysis in the drug discovery process through providing high-throughput physiologically relevant insights into cell health and compound efficacy