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
Apr 23, 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
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Spatial omics in the browser for hundreds of images at once | 10x, IMC, IF, H&E, CosMX, & more | https://rakaia.io/
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)
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
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
Rust library for reading imaging mass cytometry (IMC) data stored in .mcd files.
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.
High-dimensional image preparation module for MIAAIM
Perform RESTORE normalization on multiplexed imaging data.
General importing and utility functions for high-dimensional image data
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