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Multi-Dimensional Viewer

Transform single-cell, spatial transcriptomics, proteomics, imaging and multiomics datasets into biological insight with our open-source platform, Multi-Dimensional Viewer (MDV), an Oxford-developed platform for interactive omics analysis, visualisation and bioinformatics support.

Analyse Complex Omics Data

MDV helps researchers explore large, complex biological datasets including single-cell RNA-seq, spatial transcriptomics, proteomics, imaging, genomics and clinical metadata.

Reveal Biological Insight

Move beyond static figures. Interactively visualise millions of cells, observations and features to identify biological patterns, generate hypotheses and support publication-ready results.

Work With Oxford Experts

Use MDV as a platform or work with our team for bioinformatics support, data integration, custom visualisation, project dashboards and collaborative interpretation.

Built for Academic, Biotech and Pharma Research

Modern biomedical research generates complex multi-dimensional data that is difficult to interpret using static plots and fragmented workflows. MDV brings analysis, visualisation and collaboration into a single interactive environment, helping research teams move from raw or processed omics data to actionable biological insight faster.

Whether you are investigating cell states, tissue architecture, disease mechanisms, biomarkers, therapeutic targets or translational datasets, MDV can help you extract more value from your data.

Multiome Analysis

Multiome Analysis

General Image Management

General Image Management

Spatial Clustering

Spatial Clustering

Spatial Network Analysis

Spatial Network Analysis

Spatial Marker QC

Spatial Marker QC

Spatial Image Analysis

Spatial Image Analysis

Key Features

  • Large assortment of interactive charts/widgets such as spread sheets, genome browser, image viewer and 3d scatter plot
  • Multiple views of the same data
  • Charts/Widgets can pop out into separate windows to take advantage of multiple screens
  • Multiple data sources (tables) can be loaded and links defined between them
  • Data can be added and/or modified by the users
  • Diverse range of data sources (API calls, static files) can be used by implementing custom data loaders

Contact Us

Reach out to us for inquiries, support, or to learn more about MDV app.