ArticleJournal of the American Society for Mass Spectrometry2023
NECTAR: A New Algorithm for Characterizing and Correcting Noise in QToF-Mass Spectrometry Imaging Data.
Article in Journal of the American Society for Mass Spectrometry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Negative-Ion Mode MALDI-TOF MS Combined with Machine Learning for the Rapid Identification of Colistin-ResistantACS omega · 2026Article
- Mathematical Framework for Quantifying Delocalization in MALDI-MSI via a Composite Scoring Approach.ACS measurement science au · 2026Article
- Identifying space-resolved proteins of the murine thymus, by combining MALDI-MSI and proteomics.Life science alliance · 2026Article
- Orbitrap noise structure and method for noise unbiased multivariate analysis.Nature communications · 2025Article
- Preserving full spectrum information in imaging mass spectrometry data reduction.Bioinformatics (Oxford, England) · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
A typical mass spectrometry imaging experiment yields a very high number of detected peaks, many of which are noise and thus unwanted. To select only peaks of interest, data preprocessing tasks are applied to raw data. A statistical study to characterize three types of noise in MSI QToF data (random, chemical, and background noise) is presented through NECTAR, a new NoisE CorrecTion AlgoRithm. Random noise is confirmed to be dominant at lower
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