MSIWarp

MSIWarp performs label-free m/z alignment and recalibration of centroid mass spectra in mass spectrometry imaging (MSI) to improve spectral matching and compound identification across datasets.


Key Features:

  • Label-free m/z alignment: Recalibrates spectra without requiring labeled standards by aligning m/z peaks between spectra.
  • Similarity score optimization: Maximizes a similarity score that considers both peak intensity and m/z position of matched peaks to determine recalibration.
  • Centroid-only requirement: Determines the recalibration function using only centroid spectra.
  • RANSAC-based outlier handling: Incorporates a tailored random sample consensus (RANSAC) procedure to detect and exclude spurious peak matches.
  • Instrument compatibility: Implemented to work across multiple instrument types, including time-of-flight (TOF) and Orbitrap instruments.
  • Validation on public datasets: Evaluated on four publicly available datasets, reporting improvements in m/z alignment of up to 88%.
  • Composition-agnostic: Operates without assumptions regarding the molecular composition of the sample.
  • Authorship: Developed by Horvatovich et al.

Scientific Applications:

  • Compound identification: Improves accuracy of compound identification by reducing m/z shifts across spectra.
  • Reproducible MSI analysis: Enhances reproducibility when analyzing and sharing MSI datasets through public repositories.
  • Cross-instrument data integration: Facilitates alignment of spectra from different instruments such as TOF and Orbitrap for comparative studies.

Methodology:

MSIWarp recalibrates centroid MSI spectra by maximizing a similarity score that accounts for both peak intensity and m/z position of matched peaks, determines a recalibration function from centroid spectra, and optionally applies a tailored RANSAC procedure to detect and exclude spurious peak matches.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
C++, Python
Added:
1/18/2021
Last Updated:
6/5/2025

Operations

Data Inputs & Outputs

Alignment

Inputs

Outputs

    Publications

    Eriksson JO, Sánchez Brotons A, Rezeli M, Suits F, Markó-Varga G, Horvatovich P. MSIWarp: A General Approach to Mass Alignment in Mass Spectrometry Imaging. Analytical Chemistry. 2020;92(24):16138-16148. doi:10.1021/acs.analchem.0c03833. PMID:33317272. PMCID:PMC7745203.

    PMID: 33317272
    PMCID: PMC7745203
    Funding: - Nederlandse Organisatie voor Wetenschappelijk Onderzoek: 184.034.019