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).<br>Files are provided as a single archive (TNBC1-MxIF8.zip) containing: images/ with image files named Pxx_ROIyy.tiff (xx = patient ID 01-62; yy = ROI index), and 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.<br>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).