cp_measure benchmarking dataset
Abstract
Images, masks and dataframes to replicate the results of a CellProfiler pipeline. This data is intended to be used for evaluating the fidelity of cp_measure features relative to CellProfiler and optimize the former.Files included:- `cellprofiler_data.parquet`: CellProfiler feature outputs including object, feature, channel, and values.- `cpm_cellprofiler_joint.parquet`: Joint dataset comparing cp_measure (`cp_measure` column) and CellProfiler (`CellProfiler` column) results.- `image_index.parquet`: Index file containing metadata for images (Source, Batch, Plate, Well, Site, etc.).- `images.tar.gz`: Archive containing the source TIFF images.- `masks.tar.gz`: Archive containing segmentation masks in NPZ format.
Fields of Study & Subjects
Cell Image Analysis Techniques
Digital Imaging for Blood Diseases
Single-cell and spatial transcriptomics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 February 2026
- Language
- EN
- Document type
- Dataset