Visualization and reporting

`ili

Web-based software for interactive visualization of molecular distributions on 2D images and 3D surfaces.

LC-MSImaging mass spectrometrySpatial metabolomicsWeb applicationOpen source

Overview

`ili maps quantitative molecular or omics features onto 2D images or 3D surface models. It accepts a spatial mapping table plus a background image or 3D model and supports reusable visualization snapshots and shareable links.

Also known as: ili

What can this tool do?

Interactive dashboard

Common uses

  • Visualize molecular features across 2D biological surfaces.
  • Map metabolomics features onto 3D models.

Scientific fit

Primary function

Visualization and reporting

Analysis types

Spatial metabolomics

Data compatibility

Inputs

Imaging data, Feature or peak table

Outputs

Imaging data

Input formats

CSV or TSV, PNG/JPG background or STL model, Textured OBJ model with MTL and image files

Output formats

JSON, Rendered image and reusable visualization snapshot

Scope and considerations

Designed for

  • Interactive molecular cartography when feature intensities can be associated with spatial coordinates.

Not designed for

  • Raw MS preprocessing, statistical inference or identification from a spatial map alone.

Important requirements

  • Feature intensities matched to sample coordinates and a corresponding background image or model.

Considerations

  • Upstream normalization, annotation and statistical validation occur outside this visualization layer.
  • Spatial patterns depend on sampling density, coordinate accuracy and display settings.

Access and documentation

Apache-2.0 source with a browser interface. Availability of the hosted site and older extension distribution should be checked before a workshop or production workflow.

License: Apache-2.0

Evidence and review

Official repository input/output documentation, license and publisher citation checked on 2026-09-11. The Nature Protocols paper introduces the software and method, rather than merely using it. Hosted rendering and data processing were not independently tested.

Core publications

Resource papers, direct updates and tool-specific methods. Selection policy.

  1. Protsyuk I, Melnik AV, Nothias L-F, et al. 3D molecular cartography using LC-MS facilitated by Optimus and 'ili software. Nature Protocols 13, 134–154 (2018). doi:10.1038/nprot.2017.122

Related tools

Entry history

Changes to this catalogue entry, not the tool's software release history. Acceptance and editorial review are separate.

  1. 2026-09-11 · First committed entry

    Complete supplied spatial tools and connect molecular cartography

    View change · Entry at this revision

Full GitHub history