flowCut

flowCut detects and removes technical artifacts from flow cytometry data by removing segments that show statistical differences from other segments.

Key Features:

• Automated artifact detection: Identifies spurious events and fluorescence intensity shifting caused by technical complications such as clogging.
• Segment-based statistical analysis: Removes segments that show statistical differences from other segments in the dataset.
• Time versus fluorescence analysis: Analyzes time versus fluorescence to detect outlier events and flag files with technical artifacts.

Scientific Applications:

• Flow cytometry quality control: Removes technical artifacts to improve data quality for downstream analysis of fluorescence-based single-cell measurements.
• Outlier event removal: Automatically flags and removes outlier events caused by instrument malfunction or sample clogging.

Methodology:

flowCut analyzes time versus fluorescence to detect segments with statistical differences from other segments, then removes these segments to eliminate technical artifacts.