# TissueViewer: a web-based multiplexed image viewer

**Authors:** David Gerardus Pieter van IJzendoorn, Magdalena Matusiak, Rob West, Matt van de Rijn

PMC · DOI: 10.1093/bioinformatics/btaf246 · Bioinformatics · 2025-04-25

## TL;DR

TissueViewer is a web-based tool for efficiently viewing and sharing large spatial biology datasets with low bandwidth requirements.

## Contribution

The novel contribution is TissueViewer, a fast and accessible web-based viewer for multiplexed spatial biology data.

## Key findings

- TissueViewer enables high-resolution viewing of large spatial biology datasets over the internet with low bandwidth.
- The platform allows users to upload and share datasets up to 50 GB on TissueViewer.org.

## Abstract

Datasets generated by spatial biology techniques such as multiplex immunofluorescence staining or spatial transcriptomics profiling of histologic sections carry a tremendous wealth of information. Several commercial platforms exist that can simultaneously acquire 1–1000 distinct marker signals (e.g. MIBI, CODEX, Orion, Nanostring CosMX SMI, Vizgen). However, due to the large size of these datasets, their viewing and sharing are slow, laborious, and require extensive computational resources.

To overcome these challenges, we developed TissueViewer, an easy to setup and use web-based viewer designed to deliver high-resolution images over the internet with low bandwidth requirements and at high speed.

TissueViewer is available on GitHub (https://github.com/davidvi/tissueviewer) and can be used on the TissueViewer.org platform, where readers can upload their own data with a limit of 50 GB to share with colleagues.

## Full-text entities

- **Diseases:** Cancer (MESH:D009369)
- **Chemicals:** ArgoFluor (-), H&amp;E (MESH:D006371)

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12119129/full.md

## References

7 references — full list in the complete paper: https://tomesphere.com/paper/PMC12119129/full.md

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Source: https://tomesphere.com/paper/PMC12119129