eBook: Navigating the Complexities of Single-Cell Analysis
Last updated: May 2024
Overview
Single-cell analysis has emerged as an essential tool for researchers investigating complex biological systems and disease mechanisms. This approach has significantly advanced our understanding of various fields, including cancer, stem cell biology, neuroscience, developmental biology, and infectious diseases.
However, single-cell analysis presents several challenges: isolating and retrieving individual cells is technically demanding, time-consuming, and labor-intensive. Automation solutions address these challenges by reducing manual effort, increasing throughput, and ensuring reproducible results on a larger scale. In this eBook, we explore multiple use cases for automation in single-cell analysis, showcasing how this technology enhances accessibility, reliability, and scalability in the field.
- Document type: eBook
- Page count: 30
- Read time: 30 minutes
Key Takeaways
- Automation in single-cell analysis
- Rapid and accurate cell line development
- Optimizing single-cell cloning
- Enabling spatial single-cell genomics
- Culturing, maintaining, and characterizing iPSCs
