Overview
SMQVP is a Shiny application for assessing background, noise, intensity, missingness and isotope/adduct patterns in spatial peak tables.
What can this tool do?
Common uses
- Inspect and filter spatial-metabolomics peak matrices through interactive QC views.
Scientific fit
Primary function
Quality control and filtering
Analysis types
Spatial metabolomics
Data compatibility
Inputs
Imaging data
Outputs
Imaging data, Human-readable report
Input formats
Peak matrix with X/Y pixel coordinates followed by m/z intensity columns
Output formats
Processed spatial peak matrix and QC visualizations
Scope and considerations
Designed for
- SMQVP is a Shiny application for assessing background, noise, intensity, missingness and isotope/adduct patterns in spatial peak tables.
Not designed for
- Raw imaging-file conversion or definitive molecular identification.
Important requirements
- An extracted spatial peak table and appropriate tissue/background region selection.
- R and Shiny for local use, or the documented hosted interface.
Considerations
- Review filtering against tissue/background signals; QC images alone do not validate biological conclusions.
Access and documentation
Source is public and an online service is documented; an explicit software license was not identified. No hosted data upload or service execution test performed.
Evidence and review
Enveda intake checked against official documentation, license information and primary DOI/title/year on 2026-10-22. Editorial review only; no execution or independent benchmark.
Core publications
Resource papers, direct updates and tool-specific methods. Selection policy.
- SMQVP: A Web Application for Spatial Metabolomics Quality Visualization and Processing. Metabolites (2025). doi:10.3390/metabo15060354
Related tools
Entry history
Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.
- 2026-10-22 · First committed entry
Add Met4DX GNN-RT FastEI and SMQVP with verified scope
View change · Entry at this revision