ArticleAnalytical and bioanalytical chemistry2023
Development of an object-based image analysis tool for mass spectrometry imaging ion classification.
Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- A Step-by-Step Protocol From METASPACE to Biological Interpretation.Journal of mass spectrometry : JMS · 2026Article
- Improved detection in untargeted lipidomics through silver-doped infrared matrix-assisted laser desorption electrospray ionization.Rapid communications in mass spectrometry : RCM · 2024Article
- Quantitative mass spectrometry imaging (qMSI): A tutorial.Journal of mass spectrometry : JMS · 2024Article
- Special Issue with Research Topics on "Recent Analysis and Applications of Mass Spectra on Biochemistry".International journal of molecular sciences · 2024Article
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3 authors.
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Abstract
Mass spectrometry imaging (MSI) is an analytical technique that can detect and visualize thousands of m/z values resolved in two- and three-dimensional space. These m/z values lead to hundreds of molecular annotations, including on-tissue and background ions. Discrimination of sample-related analytes from ambient ions conventionally involves manual investigation of each ion heatmap, which requires significant researcher time and effort (for a single tissue image, it can take an hour to determine on-tissue and off-tissue species). Moreover, manual investigation lends itself to subjectivity. Herein, we present the utility of an ion classification tool (ICT) developed using object-based image analysis in MATLAB. The ICT functions by segmenting ion heatmap images into on-tissue and off-tissue objects through binary conversion. The binary images are analyzed and within seconds used to classify the ions as on-tissue or background using a binning approach based on the number of detected objects. In a representative dataset with 50 randomly selected annotations, the ICT was able to accurately classify 45/50 ions as on-tissue or background.
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