cp_measure benchmarking dataset

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Authors: Alán F. Muñoz
Cited by: 0

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