Normalization of mass spectra acquired by mass spectrometric imaging
OwnerSoren-Oliver Deininger, Eryk Wolskiinventors
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Abstract
Mass spectra acquired by imaging mass spectrometry (IMS), in particular MALDI imaging of tissue sections, are each normalized by one of: the p-norm of the mass spectrum transformed by applying an exclusion list, the p-norm of the mass spectrum transformed by square rooting the intensity values, the median of the mass spectrum, and the median absolute deviation of the noise level of the mass spectrum.
Claims10
A method for determining the spatial distribution of a biomarker, drug or metabolite of a drug in a tissue with different types of cells, the method comprising:
- providing a section of the tissue;
- acquiring a set of mass spectra at a plurality of spatially-separated pixel locations of the tissue section;
- identifying mass ranges in the mass spectra that correspond to tissue compounds that are inhomogeneously distributed within the tissue section and produce mass signals with high intensity or large areas under the peak in confined regions of the tissue section;
- determining a p-norm of each of the mass spectra as transformed by the application of an intensity value exclusion list that suppresses the mass signals in the identified mass ranges;
- normalizing each mass spectrum using the p-norm determined for that mass spectrum;
- and
- deriving a mass image of the biomarker, drug or drug metabolite from the normalized mass spectra and determining the spatial distribution of the biomarker, drug or drug metabolite in the tissue.
A method for determining the spatial distribution of the kind or state of a tissue with different types of cells, the method comprising:
- providing a section of the tissue;
- acquiring a set of mass spectra at a plurality of spatially-separated pixel locations of the tissue section;
- identifying mass ranges in the mass spectra that correspond to tissue compounds that are inhomogeneously distributed within the tissue section and produce mass signals with high intensity or large areas under the peak in confined regions of the tissue section;
- determining a p-norm of each of the mass spectra as transformed by the application of an intensity value exclusion list that suppresses the mass signals in the identified mass ranges;
- normalizing each mass spectrum using the p-norm determined for that mass spectrum;
- and
- deriving a mass image of the of the kind or state of the tissue by combining at least two different mass signals of the normalized mass spectra and determining the spatial distribution of the kind or state of the tissue from the mass image.
Dependencies are inferred from the claim text.