المؤلفون: Yonghui Dong (284978), Nir Shachaf (645813), Liron Feldberg (2337841), Ilana Rogachev (157329), Uwe Heinig (5637458), Asaph Aharoni (157344)

مصطلحات موضوعية: Biochemistry, Cell Biology, Plant Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, total computation time, propose three strategies, naturally occurring phenomenon, assisted laser desorption, moderately colocalized ions, group ions stemming, mass spectrometry imaging, given precursor ion, precursor ion results, ms spectra ”, precursor ion identification, approach termed pica, confidence metabolite identification, precursor ion, metabolite identification, adduct ions, maldi imaging, increase confidence, efficient approach, “ pseudo, takes advantage, structurally related, source fragments

Relation: https://figshare.com/articles/journal_contribution/PICA_Pixel_Intensity_Correlation_Analysis_for_Deconvolution_and_Metabolite_Identification_in_Mass_Spectrometry_Imaging/21805920

الاتاحة: https://doi.org/10.1021/acs.analchem.2c04778.s001

المؤلفون: Yonghui Dong (284978), Nir Shachaf (645813), Liron Feldberg (2337841), Ilana Rogachev (157329), Uwe Heinig (5637458), Asaph Aharoni (157344)

مصطلحات موضوعية: Biochemistry, Cell Biology, Plant Biology, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, total computation time, propose three strategies, naturally occurring phenomenon, assisted laser desorption, moderately colocalized ions, group ions stemming, mass spectrometry imaging, given precursor ion, precursor ion results, ms spectra ”, precursor ion identification, approach termed pica, confidence metabolite identification, precursor ion, metabolite identification, adduct ions, maldi imaging, increase confidence, efficient approach, “ pseudo, takes advantage, structurally related, source fragments

Relation: https://figshare.com/articles/journal_contribution/PICA_Pixel_Intensity_Correlation_Analysis_for_Deconvolution_and_Metabolite_Identification_in_Mass_Spectrometry_Imaging/21805923

الاتاحة: https://doi.org/10.1021/acs.analchem.2c04778.s002