Single-cell analysis has become a critical tool for researchers studying complex biological systems and disease mechanisms. Significant strides have been made in our understanding of cancer, stem cell biology, neuroscience, developmental biology, and infectious diseases by leveraging single-cell analyses.
Single-cell analyses aren’t straightforward, however: selecting and retrieving single cells is technically challenging, time-consuming, and labor intensive. Automation solutions to these challenges reduce hands-on time and increase throughput while delivering reproducible results at scale. In this eBook, we highlight several use cases for automation in single-cell analysis, demonstrating how this technology makes single-cell analysis more accessible, reliable, and scalable.
Topics covered in this eBook include:
- 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