Leveraging AI in Your Live-Cell Imaging: A Comprehensive Guide
Last updated: August 2023
Overview
The use of live-cell imaging is a potent method for observing and analyzing the behavior of cells in real-time. As cellular models become more complex, there is a growing need for label-free and non-invasive approaches to accurately measure dynamic cellular processes.
The integration of artificial intelligence (AI) and advanced machine learning into image analysis workflows is now simplifying this process and allowing for reliable, user-friendly quantification of a broad range of cellular models.
This eBook explores the latest advancements in AI-driven image analysis, and how it is revolutionizing live-cell imaging.
- Document type: eBook
- Page count: 18
- Read time: 25 minutes
Key Takeaways
Download this comprehensive guide to:
- Discover how label-free analysis, with its user-friendly interface, simplifies the quantification of intricate biological behavior
- Learn more about the application of label-free analysis in the drug discovery process
- Delve deeper into AI-driven image analysis in screening of cytotoxicity and chemotherapeutic cytotoxicity
