PICA: Pixel Intensity Correlation Analysis for Deconvolution and Metabolite Identification in Mass Spectrometry Imaging
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Descriptive Statistics Summarizing DESI Parameters Found in the Literature
Liron FELDBERG, PhD, Israel Institute of Biological Research, Ness Ziona, IIBR, Department of Analytical Chemistry
Incorporating In-Source Fragment Information Improves Metabolite Identification Accuracy in Untargeted LC–MS Data Sets
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Sample Preparation for Mass Spectrometry Imaging of Plant Tissues: A Review. - Abstract - Europe PMC
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CytoSpec - Biomedical Applications of Vibrational Spectroscopy - Hyperspectral Imaging - Chemometrics
PDF) Colocalization Analysis in Fluorescence Micrographs: Verification of a More Accurate Calculation of Pearson's Correlation Coefficient