EasyFlowQ
EasyFlowQ enables quantitative measurements of fluorescence in single cells through local flow cytometry analysis of FCS format files.
Key Features:
- FCS File Compatibility: Processes flow cytometry data in the standard FCS format defined by the International Society for Advancement of Cytometry (ISAC).
- Cross-Platform Local Analysis: Runs locally on Windows, MacOS, and Linux without requiring previous coding knowledge.
- Customizable Framework: Built on Matplotlib and Qt, allowing advanced users to customize and contribute to the software.
Scientific Applications:
- Immunology: Identifies cell populations with different surface protein markers.
- Intracellular Protein Analysis: Measures intracellular proteins and fluorescent protein transgenes.
- Developmental Biology: Supports studies of cell development and differentiation.
- Systems Biology: Facilitates quantitative single-cell fluorescence measurements for systems-level studies.
- Microbiology: Extends flow cytometry analysis to microbial systems and other fields.
Methodology:
EasyFlowQ is implemented in Python using Matplotlib for plotting and Qt for the user interface.
Topics
Details
- Programming Languages:
- MATLAB, Python, R
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026
Operations
Publications
Documentation
Training material
http://ym3141.github.io/EasyFlowQ/Tutorial/