What problem does it solve?
This Skill removes the friction of reading and cleaning flow cytometry files, letting you inspect FCS metadata, extract event data, and prepare research datasets without manual parsing.
Core Features & Use Cases
- FCS Parsing: Read FCS 2.0, 3.0, and 3.1 files while handling offset issues and multi-dataset layouts.
- Data Extraction and Export: Convert event data into NumPy arrays, pandas DataFrames, or CSV outputs for downstream analysis.
- Research Workflow Support: Inspect channels, detect scatter or fluorescence signals, preserve metadata, and re-export modified files for cytometry preprocessing.
- Use Case: A researcher loads a batch of instrument exports, reviews channel names and acquisition metadata, extracts the event matrix, and saves a clean analysis-ready table for review.
Quick Start
Use the flowio skill to read the attached FCS file, extract its metadata and event matrix, and return an analysis-ready summary with channel labels.