Analysis Application

The Vendor is required to provide analysis application has gone through at least two acquisitions, and the annual licensing contract expires July 31, 2026.
- Functional requirements
1. Gating and analysis
• Hierarchical and reusable gating strategies.
• Application of saved gating templates across multiple files, batches, and longitudinal studies.
• Preserve gating reproducibility across operators and sessions.
• Versioning or traceability of analysis templates and gating strategies.
• Rapid re-analysis of datasets following template updates
• Automated or semi-automated gating assistance.
• Comparison of gating strategies across operators or studies.
2. Compensation and spectral analysis
• Conventional compensation workflows.
• Spectral unmixing workflows.
• Saving and reusing compensation and unmixing matrices.
• Consistent application of compensation settings across studies and batches.
• System should support visualization and QC validation of compensation and unmixing results.
3. Data QC and longitudinal studies
• Longitudinal and multi-run study workflows.
• QC workflows including debris exclusion, doublet discrimination, viability gating, and time-based cleanup.
• Consistent application of analysis settings across longitudinal studies.
• Tracking and management of batch variation.
• Normalization workflows.
• QC flagging and outlier identification.
• Visualization of drift and batch variability.
4. Batch processing and automation
• Batch processing of datasets.
• Template-based analysis execution.
• Rapid propagation of analysis updates across multiple datasets.
• Performance and stability during large batch operations.
• Configurable automation and pipeline execution.
• Scheduled or repeatable analysis workflows.
5. Scalability and performance
• Analysis of large datasets without significant degradation in performance.
• Stability during high-memory or high-volume analysis workflows.
• Efficient loading, rendering, and batch execution across large studies.
• Scalable compute and resource optimization.
• Efficient processing of high-parameter datasets.