Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc.)
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Updated
Oct 8, 2026 - Python
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc.)
Integrated pipeline for multiplexed image analysis
Spatial omics in the browser for hundreds of images at once | 10x, IMC, IF, H&E, CosMX, & more | https://rakaia.io/
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
An end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.
Probabilistic topic model for identifying cellular micro-environments.
Spatial Multiomics Profiler for Spatial Characterization of Tissue Microenvironment (https://smprofiler.io) [NeurIPS'26]
HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇
A Python package for unsupervised analysis of spatial (prote)omics data.
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
spora [bench] is a benchmark for spatial proteomics foundation models.
MIAAIM: Multi-omics Image Alignment and Analysis by Information Manifolds
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
A workflow designed to perform multiplexed image analysis, specialising in (but not limited to) analysis of metal distribution in LA-ICP-TOFMS data.
Rapid and efficient image preprocessing pipeline for multiplexed spatial proteomics. Code to compare several techniques to denoise Imaging Mass cytometry
Rust library for reading imaging mass cytometry (IMC) data stored in .mcd files.
Analysis pipelines for paper Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures
Perform RESTORE normalization on multiplexed imaging data.
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