flowio

You can parse flow cytometry FCS files by using a library that extracts TEXT metadata and DATA event segments, returning events as NumPy arrays for analysis pipelines. FlowIO supports FCS versions 2.0, 3.0, and 3.1.

To extract channel labels and metadata from an FCS file, process the TEXT segment to access PnN and PnS channel labels alongside instrument metadata. FlowIO exposes this rich metadata for downstream validation and integration.

Yes, you can create new FCS files with specified channel names. FlowIO enables the reconstruction and creation of Flow Cytometry Standard files, allowing you to define channel names while writing event data back into the FCS format.

FlowIO supports multi-dataset FCS files and validates channel metadata across them. It is compatible with FCS versions 2.0, 3.0, and 3.1, ensuring robust reading and interpretation of both single and multi-dataset files.

The best way to preprocess flow cytometry data is to parse FCS files, extract event data and metadata, and convert events to NumPy arrays or CSV. FlowIO handles this backend data processing to output analysis-ready formats for statistical validation.