The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ProteoWizard: open source software for rapid proteomics tools development
Kessner, D., Chambers, M., Burke, R., Agus, D., & Mallick, P. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn323 · Cited by 2,024
Cited by
The association between sterilizing activity and drug distribution into tuberculosis lesions
Prideaux, B., Via, L. E., Zimmerman, M. D., Eum, S., Sarathy, J., O'Brien, P., Chen, C., Kaya, F., Weiner, D. M., Chen, P.-Y., et al. (2015) · Nature Medicine · doi:10.1038/nm.3937 · Cited by 461
Mass Spectrometry Imaging of Biomolecular Information
Spengler, B. (2015) · Analytical Chemistry · doi:10.1021/ac504543v · Cited by 290
Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
Verbeeck, N., Caprioli, R. M., & Van de Plas, R. (2020) · Mass Spectrometry Reviews · doi:10.1002/mas.21602 · Cited by 281
Artemisinin Biosynthesis in Non-glandular Trichome Cells of Artemisia annua
Judd, R., Bagley, M. C., Li, M., Zhu, Y., Lei, C., Yuzuak, S., Ekelöf, M., Pu, G., Zhao, X., Muddiman, D. C., et al. (2019) · Molecular Plant · doi:10.1016/j.molp.2019.02.011 · Cited by 75
Self-citationHwang, D., Dismuke, T., Tikunov, A., Rosen, E. P., Kagel, J. R., Ramsey, J. D., Lim, C., Zamboni, W., Kabanov, A. V., Gershon, T. R., et al. (2021) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2020.102345 · Cited by 53
Metadata
- Authors
- Robichaud, G., Garrard, K. P., Barry, J. A., & Muddiman, D. C.
- Venue
- Journal of the American Society for Mass Spectrometry
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-03-28
- Volume
- 24
- Issue
- 5
- Pages
- 718-721
- ISSN
- 1044-0305 (ISSN-L)
- OpenAlex
- W2075247874
- Cited by
- 392
- References
- 1
- FWCI
- 11.42
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform. https://app.cochat.ai/papers/10.1007/s13361-013-0607-z
- The paper
- Robichaud, G., Garrard, K. P., Barry, J. A., & Muddiman, D. C. (2013). MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform. Journal of the American Society for Mass Spectrometry. https://doi.org/10.1007/s13361-013-0607-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
