i2i

i2i processes mass spectrometry imaging (MSI) data acquired with continuous ionization techniques to generate ion images that account for automatic gain control (AGC)-modulated duty cycles.


Key Features:

  • Data Handling Flexibility: Supports both quantitative and nontargeted processing of MSI datasets.
  • AGC-aware Pixel Determination: Accounts for automatic gain control (AGC) influence on the mass spectrometer duty cycle when determining pixel dimensions.
  • Scan Filter Integration: Integrates one or several scan filters and facilitates interlacing of MS^n and SIM scan datasets.
  • High-Resolution Support: Accommodates high-resolution MSI data.
  • Rapid Processing: Processes complex datasets in minutes for high-throughput analysis.

Scientific Applications:

  • High-resolution spatial molecular imaging: Generates spatial distributions of molecules from continuous ionization MSI data for detailed imaging analyses.
  • Proteomics: Supports spatial proteomic investigations using MSI data from continuous ionization sources.
  • Metabolomics: Enables spatial metabolomic analyses by converting MSI line-scan data into ion images.
  • Pharmaceutical research: Facilitates mapping of drug and metabolite distributions in tissues using continuous ionization MSI with AGC-aware processing.

Methodology:

Implemented in MATLAB, providing computational routines to generate, process, and export MSI data from full scans and complex scan functions, integrate scan filters to interlace MS^n and SIM scans, and account for AGC-modulated duty cycles when determining pixel dimensions.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
desktop application
Programming Languages:
MATLAB
Added:
2/5/2024
Last Updated:
11/24/2024

Operations

Publications

Lillja J, Duncan KD, Lanekoff I. Ion-to-Image, i2i, a Mass Spectrometry Imaging Data Analysis Platform for Continuous Ionization Techniques. Analytical Chemistry. 2023;95(31):11589-11595. doi:10.1021/acs.analchem.3c01615. PMID:37505508. PMCID:PMC10413325.

PMID: 37505508
Funding: - Vetenskapsr?det: 2017-04125 - Stiftelsen f?r Strategisk Forskning: ICA14-0044, ITM17-0014