MuSpAn – Multiscale Spatial Analysis Toolbox

Applications: Spatial Data Analysis, Biological Imaging Data, Spatial Omics

MuSpAn is a multiscale spatial analysis toolbox designed to empower biologists to analyse complex high dimensional imaging data.

Features	Benefits
A Python package for comprehensive multiscale spatial analysis of biological imaging data.	Our platform agnostic approach can be applied to spatial data, including spatial transcriptomics and proteomics, across biological length scales.
A collection of cutting edge mathematical and statistical approaches, from fields including topology, networks, spatial statistics, and more.	Using multiple complementary approaches enables quantitative and interpretable analysis of all aspects of spatial data.
Supported by comprehensive user-friendly tutorials and documentation.	Easy to use by non-mathematicians, with a growing codebase supported by an active team of developers.
A computational framework which standardises data from any imaging modality, tissue type, or pre-processing pipeline into a common versatile format.	Different spatial analysis methods can be seamlessly applied to any dataset. Ideal for both interactive data exploration and bespoke high throughput pipeline development.

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