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Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
MALDI-MSI towards multimodal imaging: challenges and perspectives
Multimodal imaging is a powerful strategy for combining information from multiple images. It
involves several fields in the acquisition, processing and interpretation of images. As …
involves several fields in the acquisition, processing and interpretation of images. As …
Multimodal imaging based on vibrational spectroscopies and mass spectrometry imaging applied to biological tissue: a multiscale and multiomics review
Molecular imaging has the potential to unearth important spatial and temporal relationships
in biological systems, including intercellular signaling as well as environmentally-cued …
in biological systems, including intercellular signaling as well as environmentally-cued …
A review on recent machine learning applications for imaging mass spectrometry studies
Imaging mass spectrometry (IMS) is a powerful analytical technique widely used in biology,
chemistry, and materials science fields that continue to expand. IMS provides a qualitative …
chemistry, and materials science fields that continue to expand. IMS provides a qualitative …
Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications
H Zhang, J Zhang, C Yuan, D Zhang, D Lu… - TrAC Trends in …, 2024 - Elsevier
Mass spectrometry imaging (MSI) is an intuitive and multidimensional analysis method that
provides spatial information on molecules in tissues or cells; it is widely used in biomedical …
provides spatial information on molecules in tissues or cells; it is widely used in biomedical …
Dimensionality reduction of mass spectrometry imaging data using autoencoders
The use of mass spectrometry imaging (MSI) techniques has become a powerful tool in the
fields of biology, pharmacology and healthcare. Next generation experimental techniques …
fields of biology, pharmacology and healthcare. Next generation experimental techniques …
Spatio-temporal metabolite profiling of the barley germination process by MALDI MS imaging
MALDI mass spectrometry imaging was performed to localize metabolites during the first
seven days of the barley germination. Up to 100 mass signals were detected of which 85 …
seven days of the barley germination. Up to 100 mass signals were detected of which 85 …
Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning
Computational analysis is crucial to capitalize on the wealth of spatio-molecular information
generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial …
generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial …
The journey towards clinical adoption of MALDI‐MS‐based imaging proteomics: from current challenges to future expectations
Among the spatial omics techniques available, mass spectrometry imaging (MSI) represents
one of the most promising owing to its capability to map the distribution of hundreds of …
one of the most promising owing to its capability to map the distribution of hundreds of …
Data filtering and its prioritization in pipelines for spatial segmentation of mass spectrometry imaging
Mass spectrometry imaging (MSI) could provide vast amounts of data at the temporal–spatial
scale in heterogeneous biological specimens, which challenges us to segment accurately …
scale in heterogeneous biological specimens, which challenges us to segment accurately …