PXD040604
PXD040604 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Multimodal Coregistration and Fusion between Spatial Metabol-omics and Biomedical Imaging |
| Description | Spatial omics are increasingly "fused" with classical biomedical imaging modalities to complement them with spatially-resolved molecular profiling, enabling deeper understanding of the biochemical basis of health and diesease. Before the multimodal information can be fused, all contributing imaging data must be spatially aligned through a process called coregistration, which remains a challenge. Here we present a multimodal coregistration framework with great genericity and accuracy for spatial omics data. Specifically, an original dimension reduction algorithm "PseudoRep" is used to bridge cross-modal gaps: PseudoRep can generate a single-channel representation of the highly multiplexed molecular image from spatial omics and ensure that the resulting representation appears "pseudo-unimodal" to the image from the other modality. Then, a Deep Learning-based transformation algorithm "DeepReg" is adopted to accurately model nonlinear tissue deformations due to anatomical variations or sample manipulations. Our method demonstrated its versatility by coregistering mass spectrometry imaging-mediated spatial metabolomics data with diverse modalities (magnetic resonance imaging, brain atlas, microscopy, and spatial transcriptomics) and reduced 38\%\textemdash69\% of coregistration errors compared to existing methods. Notably, we open-source a toolbox to implement both the coregistration and its downstream tasks (co-expression analysis, anatomical annotation, and pansharpening), which is expected to greatly facilitate the democratization of multimodal fusion studies in the spatial omics community. |
| HostingRepository | iProX |
| AnnounceDate | 2023-03-06 |
| AnnouncementXML | Submission_2023-03-05_20:11:57.589.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Ang Guo |
| SpeciesList | scientific name: Mus musculus; NCBI TaxID: 10090; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | SYNAPT G2-Si |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2023-03-05 20:11:51 | ID requested | |
| ⏵ 1 | 2023-03-05 20:11:58 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Spatial Omics, Multi-modal registration |
Contact List
| Qian Luo | |
|---|---|
| contact affiliation | Shenzhen Institute of Science and Technology, Chinese Academy of Sciences |
| contact email | qian.luo@siat.ac.cn |
| lab head | |
| Ang Guo | |
| contact affiliation | Shenzhen Institute of Science and Technology, Chinese Academy of Sciences |
| contact email | ang.guo@siat.ac.cn |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |




