Automatic Registration of the Mass Spectrometry Imaging Data of Sagittal Brain Slices to the Reference Atlas.

The registration of the mass spectrometry imaging (MSI) data with mouse brain tissue slices from the atlases could perform automatic anatomical interpretation, and the comparison of MSI data in particular brain regions from different mice could be accelerated. However, the current registration of MSI data with mouse brain tissue slices is mainly focused on the coronal. Although the sagittal plane is able to provide more information about brain regions on a single histological slice than the coronal, it is difficult to directly register the complete sagittal brain slices of a mouse as a result of the more significant individualized differences and more positional shifts of brain regions. Herein, by adding the auxiliary line on the two brain regions of central canal (CC) and cerebral peduncle (CP), the registration accuracy of the MSI data with sagittal brain slices has been improved (∼2-5-folds for different brain regions). Moreover, the histological sections with different degrees deformation and different dyeing effects have been used to verify that this pipeline has a certain universality. Our method facilitates the rapid comparison of sagittal plane MSI data from different animals and accelerates the application in the discovery of disease markers.

• Publication year

  2021

• Venue

  Journal of the American Society for Mass Spectrometry

• Publication date

  2021-06-07

• Fields of study

  Medicine

• Identifiers
  DOI 10.1021/jasms.1c00137PMID 34096712
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• ColocML: machine learning quantifies co-localization between mass spectrometry images

  2020cited by this paper
• Mass spectrometry imaging of free-floating brain sections detects pathological lipid distribution in a mouse model of Alzheimer's-like pathology.

  2020cited by this paper
• Cannabinoids Rescue Cocaine-Induced Seizures by Restoring Brain Glycine Receptor Dysfunction.

  2020cited by this paper
• Simultaneous mass spectrometry imaging of multiple neuropeptides in the brain and alterations induced by experimental parkinsonism and L-DOPA therapy.

  2020cited by this paper
• Automatic 3D Nonlinear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data.

  2019cited by this paper
• Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry

  2019cited by this paper
• Mass Spectrometry Imaging of Brain Cholesterol and Metabolites with Trifluoroacetic Acid-Enhanced Desorption Electrospray Ionization.

  2019cited by this paper
• BIRNet: Brain image registration using dual‐supervised fully convolutional networks

  2018cited by this paper
• Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights.

  2018cited by this paper
• Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology

  2018cited by this paper
• Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues

  2018cited by this paper
• Next Generation Histology-Directed Imaging Mass Spectrometry Driven by Autofluorescence Microscopy.

  2018cited by this paper
• Mapping Histological Slice Sequences to the Allen Mouse Brain Atlas Without 3D Reconstruction

  2018cited by this paper
• Mass spectrometry imaging for clinical research - latest developments, applications, and current limitations.

  2017cited by this paper
• Connecting imaging mass spectrometry and magnetic resonance imaging-based anatomical atlases for automated anatomical interpretation and differential analysis.

  2017cited by this paper
• Probabilistic Segmentation of Mass Spectrometry (MS) Images Helps Select Important Ions and Characterize Confidence in the Resulting Segments*

  2016cited by this paper
• Testing for Multivariate Normality in Mass Spectrometry Imaging Data: A Robust Statistical Approach for Clustering Evaluation and the Generation of Synthetic Mass Spectrometry Imaging Data Sets.

  2016cited by this paper
• The use of MALDI‐MSI in the investigation of psychiatric and neurodegenerative disorders: A review

  2016cited by this paper
• Precise Anatomic Localization of Accumulated Lipids in Mfp2 Deficient Murine Brains Through Automated Registration of SIMS Images to the Allen Brain Atlas

  2015cited by this paper
• Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity

  2015cited by this paper
• Large-Scale Mass Spectrometry Imaging Investigation of Consequences of Cortical Spreading Depression in a Transgenic Mouse Model of Migraine

  2015cited by this paper
• Automated Anatomical Interpretation of Ion Distributions in Tissue: Linking Imaging Mass Spectrometry to Curated Atlases

  2014cited by this paper
• Medical image registration: a review

  2014cited by this paper
• Automatic generic registration of mass spectrometry imaging data to histology using nonlinear stochastic embedding.

  2014cited by this paper
• Automatic registration of mass spectrometry imaging data sets to the Allen brain atlas.

  2014cited by this paper
• Hyperspectral visualization of mass spectrometry imaging data.

  2013cited by this paper
• Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarity.

  2013cited by this paper
• Combined elemental and biomolecular mass spectrometry imaging for probing the inventory of tissue at a micrometer scale.

  2012cited by this paper
• Imaging mass spectrometry to visualize biomolecule distributions in mouse brain tissue following hemispheric cortical spreading depression.

  2012cited by this paper
• Recent advances in single-cell MALDI mass spectrometry imaging and potential clinical impact

  2011cited by this paper
• Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering.

  2010cited by this paper
• Cerebral bioimaging of Cu, Fe, Zn, and Mn in the MPTP mouse model of Parkinson’s disease using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS)

  2010cited by this paper
• Activity-induced manganese-dependent functional MRI of the rat visual cortex following intranasal manganese chloride administration.

  2010cited by this paper
• Mouse models in neurological disorders: applications of non-invasive imaging.

  2010cited by this paper
• Rapid, direct analysis of cholesterol by charge labeling in reactive desorption electrospray ionization.

  2009cited by this paper
• Genome-wide atlas of gene expression in the adult mouse brain

  2007cited by this paper
• Spatial and spectral correlations in MALDI mass spectrometry images by clustering and multivariate analysis.

  2005cited by this paper
• Non-rigid image registration: theory and practice.

  2004cited by this paper

• The application of desorption electrospray ionization mass spectrometry and mass spectrometry imaging in metabolomics, lipidomics and proteomics analysis.

  2025cites this paper
• Advances in multimodal mass spectrometry for single‐cell analysis and imaging enhancement

  2024cites this paper
• Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications

  2024cites this paper
• Mass Spectrometry in China.

  2023cites this paper
• Emerging Computational Methods in Mass Spectrometry Imaging

  2022cites this paper
• Spatial segmentation of mass spectrometry imaging data featuring selected principal components.

  2022cites this paper
• An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities

  2021cites this paper