From Research-Scale Discovery to Clinical-Scale Single-Cell Genomics
Scaling Single-Cell Genomics Through Automation and Partnership
Scaling single-cell genomics requires more than higher throughput—it demands reproducible data across larger sample cohorts. This customer success story explores how Singleron Biotechnologies partnered with Hamilton to develop Tensor, an integrated automation platform that standardizes single-cell partitioning through sequencing-ready library preparation. The result is a scalable workflow with reduced manual intervention and consistent library quality.
Key Takeaways
- High-throughput processing: Tensor processes more than 320,000 cells per run and generates up to 32 sequencing-ready libraries in approximately 24 hours.
- Reproducible results at scale: Integrated automation supports consistent library quality with minimal cross-contamination and reduced operator-dependent variability.
- Purpose-built collaboration: Customized liquid handling, SCOPE chip integration, and automated processing enable standardized single-cell workflows for larger research programs.
Read the Full Customer Success Story to Learn More.