The Spatial Atlas of Human Anatomy (SAHA) is an open-science initiative to build a subcellular-resolution, multimodal reference atlas of healthy human tissues across organs and systems. This repository reproduces all figures from the SAHA manuscript and provides transparent access to data, analysis scripts, and adapted methods.
notebooks/— Jupyter notebooks for each main/extended data figuredata/— Source data for figures (or scripts to download from Zenodo)scripts/— Python/R scripts for processing and visualizationfigures/— Output figures in.svgand.pdfmethods/— Notes on customized workflows (e.g., MaxFuse, SCIMAP)utils/— Shared functions (e.g., plotting, statistics)
All large datasets used in this study are publicly available via Zenodo: https://zenodo.org/communities/saha/
See data/zenodo_download.md for instructions on retrieval.
saha-maxfuse: Multimodal spatial integration pipelinesaha-scimap: Cell typing for spatial proteomics data
If you use SAHA resources, please cite: > [SAHA Manuscript Title], [Authors], [Journal/BioRxiv], [DOI] - To be updated.
We welcome contributions and extensions. Please open issues or pull requests for discussion.