M²aia

m2aia

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

pym2aia

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.

pym2aia-examples

memory-efficient Python interface for mass spectrometry imaging with focus on Deep Learning

mitk-docker

This project provides utilities to run Docker commands from within MITK and Docker based processing views.

mitk-elastix

This is a MITK extension that provides utilities and plugins for image-based registration using the Elastix registration framework.

.github

imzML

A common data format for mass spectrometry imaging

mitk

Modified version of MITK required to build M²aia

mitk-m2olie

The Medical Imaging Interaction Toolkit.

MITK-ProjectTemplate

This is a template for MITK based projects.

pym2aia-examples-msiPL

Python Implementation of the msiPL by Abdelmoula et al.

m2aia-docker

psi-ms-CV

HUPO-PSI mass spectrometry CV

pym2aia-examples-MSI-self-supervised-clustering

Autonomous and accurate clustering of co-localized ion images in a self-supervised manner.