Automated Agentic Chip-based nanoESI-MS/MS
An LLM-driven AI agent framework for chip-based nanoESI-MS/MS automates experimental and analytical tasks while remaining accessible, adaptable, and informed by both literature and lab-specific knowledge. Manuscript in preparation.
- AI-driven automation: Integrates LLM reasoning with tool-based execution to autonomously handle worklist creation, QC, data conversion, visualization, and literature retrieval.
- Accessible workflows: Eliminates coding barriers, enabling non-specialists to run end-to-end chip-based nanoESI-MS/MS experiments independently.
- Adaptive and evolving framework: Modular design preserves lab knowledge, integrates literature, and flexibly updates with new methods and technologies.