Software for the analysis and interactive exploration of spectral imaging data

Mass spectrometry imaging applications for interactive analysis in MITK (M²aia)

Tool for converting mass spectrometry data to the imzML format.

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

A tool for mass spectrometry data analysis.

This framework allows to perform scRNA-seq-like analyses of imaging mass-spectrometry data. Check out the example jupyter-notebook in examples/

Analysis of matrix-metabolite adducts in MALDI mass spectrometry imaging datasets

collection of mass spectrometry imaging workflows

pyM²aia is a Python package for memory-efficient access and processing of mass spectrometry image data. The I/O functionality is derived from the interactive desktop application M²aia. Special features are the batch generator utilities for deep learning applications.

Shiny App for Mass Spectrometry Imaging

SPUTNIK R package

A common data format for mass spectrometry imaging

A 3D Slicer module for end-to-end analysis of mass spectrometry imaging data

This project provides an Spectre's implementation of Data Mining Group's algorithms for processing mass spectrometry imaging (MSI) datasets.

Nondestructive Spatial Lipidomics for Glioma Classification - Tissue Similarity and Grading

Scripts used for the paper Inglese, P., Correia, G., Pruski, P., Glen, R. C., & Takats, Z. (2019). Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging. Analytical chemistry.

Default preprocessing pipeline for MSI data in raw ASCII format based on Gaussian Mixture Modeling (GMM)

Nondestructive Spatial Lipidomics for Glioma Classification - Tissue Similarity and Grading

Repository of materials used in poster for IMSC 2018

Demo code for publication PICA