High-throughput screening (HTS) plays a central role in modern drug discovery, enabling researchers to evaluate large compound libraries against biological targets. However, successful screening campaigns depend on more than throughput alone. Assay robustness, reproducibility, scalability, and susceptibility to interference can all influence data quality, screening efficiency, and downstream decision-making.
This infographic examines practical strategies for designing and optimizing HTS assays, including assay format selection, methods for improving robustness and sensitivity, approaches to reducing false positives, and considerations for scaling assays to automated screening workflows.
Download this infographic to learn:
- Key factors that influence assay robustness, reproducibility, and screening performance
- Strategies for minimizing assay interference, false positives, and costly validation efforts
- Best practices for selecting assay formats and designing workflows that support scalable HTS campaigns
