AI and Machine Learning in Live-Cell Image Analysis - eBook
Last updated: June 2024
Overview
Live-cell imaging is revolutionizing cell biology, providing crucial insights into disease mechanisms and therapeutic development. However, the complexity and multidimensionality of the data can make analysis challenging. Whether you're a researcher, biologist, or data scientist, this eBook provides valuable insights into how Artificial Intelligence (AI) and machine learning are transforming live-cell imaging. Streamline your analysis workflow, investigate the exciting integration of live-cell imaging with machine learning tools.
- Document type: eBook
- Page count: 82
- Read time: 1.5 hours
Key Takeaways
Learn how AI-driven methods can:
- Recognize patterns in data that are invisible to the human eye
- Interrogate complex data quickly and objectively
- Make data more accessible for researchers
Discover how AI and machine learning technologies are making significant progress in:
- Quantifying cell viability
- Investigating mesenchymal stem cell heterogeneity
- Assessing subcellular features
