Standardized File Types and Annotations for Each Sample
Multiplex ImagesPaired H&E ImagesTissue MasksCell MasksCell TypesPatient DataMeta Data
Dataset Browser
Browse and filter all 35 cohorts by cancer type, technology, and more. Download any cohort directly from the command line or through the spora-io Python library.
Load any single or combination of datasets in two lines of Python. The spora-io library provides a unified interface to browse, tile, and load spatial proteomics data with matched H&E and diverse intensity standardizations.
Try spora immediately by downloading allam2022spatially, a small lung cancer IMC cohort (~500MB).
Citation
If you use spora in your research, please cite:
@inproceedings{querfurth2026spora,
title = {{spora: A Unified Multimodal Dataset and Platform for Spatial Proteomics}},
author = {von Querfurth, Benedikt and Wenckstern, Johann and Jain, Eeshaan and Klein, Lukas and Cheng, Phil F. and Cheng, Yexiang and Vincent-Cuaz, Cédric and Frossard, Pascal and Haberecker, Martina and Wicki, Andreas and Michielin, Olivier and Bunne, Charlotte},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS) Evaluations & Datasets (E&D) Track},
year = {2026}
}
Contribute Data to Spora
Do you want to contribute to spora? Get in touch! spora@epfl.ch
Multiplex Images
Paired H&E Images
Tissue Masks
Cell Masks
Cell Types
Patient Data
Meta Data
