TNBC1-MxIF8: Multiplex immunofluorescence images of triple-negative breast cancer tissue (62 patients, 1010 ROIs, 8 channels)

This dataset contains multiplex immunofluorescence (MxIF) microscopy images of triple-negative breast cancer (TNBC) tissue used in the CLEAR-IT study. The dataset includes 1010 TIFF images from 62 patients, with image dimensions 1340 x 1008 pixels and pixel size 0.5 um. Each image contains 8 channels in the following order: DAPI, CK, CD3, CD68, CD8, CD56, CD20, and background (autofluorescence).

Files are provided as a single archive (TNBC1-MxIF8.zip) containing:

1. images/ with image files named Pxx_ROIyy.tiff (xx = patient ID 01-62; yy = ROI index), and
2. channels.txt listing channel names.

A dataset README.txt is provided alongside the ZIP file and documents scope, structure, channel order, provenance, access conditions, and citation guidance.

The data were originally acquired and reported by Hammerl et al. (Nature Communications, 2021; DOI: 10.1038/s41467-021-25962-0) and are redistributed here for reproducibility of CLEAR-IT analyses. The images represent cancer tissue from TNBC patients and are intended for research use in computational pathology, tumor immunology, and machine learning (for example, cell phenotyping and representation learning).

Related item: https://doi.org/10.1038/s41467-021-25962-0