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Published in 2021 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.0c04798
Abstract: Spatial segmentation partitions mass spectrometry imaging (MSI) data into distinct regions, providing a concise visualization of the vast amount of data and identifying regions of interest (ROIs) for downstream statistical analysis. Unsupervised approaches are particularly…
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Keywords:
mass spectrometry;
spatial segmentation;
msi data;
segmentation ... See more keywords
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Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c01456
Abstract: Spatial segmentation is a critical procedure in mass spectrometry imaging (MSI)-based biochemical analysis. However, the commonly used unsupervised MSI segmentation methods may lead to inappropriate segmentation results as the MSI data is characterized by high…
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Keywords:
spectrometry imaging;
mass spectrometry;
segmentation;
strategy ... See more keywords
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Published in 2022 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.27.3.036004
Abstract: Abstract. Significance: Developing algorithms for estimating blood oxygenation from snapshot multispectral imaging (MSI) data is challenging due to the complexity of sensor characteristics and photon transport modeling in tissue. We circumvent this using a method…
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Keywords:
neural networks;
trained vivo;
imaging skin;
msi ... See more keywords
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Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.585
Abstract: Mass spectrometry imaging (MSI) enables the unbiased characterization of surfaces with respect to their chemical composition. In biological MSI, zones with differential mass profiles hint towards localized physiological processes, such as the tissue-specific accumulation of…
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Keywords:
mass spectrometry;
msi data;
contrast;
msi ... See more keywords