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MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform

  • Short Communication
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Journal of The American Society for Mass Spectrometry

Abstract

During the past decade, the field of mass spectrometry imaging (MSI) has greatly evolved, to a point where it has now been fully integrated by most vendors as an optional or dedicated platform that can be purchased with their instruments. However, the technology is not mature and multiple research groups in both academia and industry are still very actively studying the fundamentals of imaging techniques, adapting the technology to new ionization sources, and developing new applications. As a result, there important varieties of data file formats used to store mass spectrometry imaging data and, concurrent to the development of MSi, collaborative efforts have been undertaken to introduce common imaging data file formats. However, few free software packages to read and analyze files of these different formats are readily available. We introduce here MSiReader, a free open source application to read and analyze high resolution MSI data from the most common MSi data formats. The application is built on the Matlab platform (Mathworks, Natick, MA, USA) and includes a large selection of data analysis tools and features. People who are unfamiliar with the Matlab language will have little difficult navigating the user-friendly interface, and users with Matlab programming experience can adapt and customize MSiReader for their own needs.

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Acknowledgments

The authors thank Alan M. Race from the University of Birmingham for granting them permission to include his imzML parser function [14] in MSiReader. The authors gratefully acknowledge the financial support received from the National Institutes of Health (R01GM087964), the W. M. Keck Foundation, and North Carolina State University.

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Authors and Affiliations

  1. W. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA

    Guillaume Robichaud, Jeremy A. Barry & David C. Muddiman

  2. Precision Engineering Center, North Carolina State University, Raleigh, NC, 27695, USA

    Kenneth P. Garrard

Authors
  1. Guillaume Robichaud
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  2. Kenneth P. Garrard
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  3. Jeremy A. Barry
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  4. David C. Muddiman
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Corresponding author

Correspondence to David C. Muddiman.

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Robichaud, G., Garrard, K.P., Barry, J.A. et al. MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform. J. Am. Soc. Mass Spectrom. 24, 718–721 (2013). https://doi.org/10.1007/s13361-013-0607-z

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  • DOI: https://doi.org/10.1007/s13361-013-0607-z

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