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

View the Project on GitHub m2aia/m2aia

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Build instructions

Installation dependencies

Docker (M²aia Online)

pyM2aia m2aia/pym2aia

Docker (MITK extension) m2aia/mitk-docker

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Author: j.cordes@hs-mannheim.de

M²aia (MSI applications for interactive analysis in MITK) is a software tool enabling interactive signal processing and visualisation of mass spectrometry imaging (MSI) datasets. M²aia extends the open source Medical Imaging and Interaction Toolkit (MITK) [1,2] and provides powerful methods that the MSI community can adopt, exploit and improve further.

M²aia provides features for

Downloads

M²aia Packages
v2024.01
Github
ubuntu-20.04
ubuntu-22.04
windows-installer
windows-zip
archive http://data.jtfc.de/latest/

Using registration utilities requires elastix 5.0.0.

Cite M²aia

Cordes J; Enzlein T; Marsching C; Hinze M; Engelhardt S; Hopf C; Wolf I (July, 2021): M²aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data https://doi.org/10.1093/gigascience/giab049

biotools:m2aia

RRID:SCR_019324

Multi-modal 3D mouse brain data

Cordes J; Enzlein T; Marsching C; Hinze M; Engelhardt S; Hopf C; Wolf I (2021): Supporting data for “M²aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data” GigaScience Database. http://dx.doi.org/10.5524/100909

Supporting Material

Supporting protocol for use-case 1: N-linked glycan m/z candidate detection in “M²aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data” dx.doi.org/10.17504/protocols.io.brw2m7ge

Supporting protocol for use-case 1: Dimensionality reduction in “M2aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data” https://dx.doi.org/10.17504/protocols.io.bwybpfsn

Supporting capsule for use-case 1: R-based processing in “M²aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data”doi.org/10.24433/CO.2384502.v1

Supporting capsule for use-case 1: Command-line application based pre-processing in “M²aia - Interactive, fast and memory efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data” doi.org/10.24433/CO.7662658.v1

External references

[1] Nolden, M., et al. 2013. “The Medical Imaging Interaction Toolkit: Challenges and Advances.” International Journal of Computer Assisted Radiology and Surgery 8 (4): 607–20. doi:10.1007/s11548-013-0840-8.

[2] Wolf, I., et al. 2005. “The Medical Imaging Interaction Toolkit.” Medical Image Analysis 9 (6): 594–604. doi:10.1016/j.media.2005.04.005.

[3] https://github.com/SuperElastix/elastix (v5.0.0)