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Related Experiment Video

Updated: Jan 27, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Published on: September 5, 2025

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ST viewer: a tool for analysis and visualization of spatial transcriptomics datasets.

José Fernández Navarro1, Joakim Lundeberg1, Patrik L Ståhl1

  • 1Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.

Bioinformatics (Oxford, England)
|March 16, 2019
PubMed
Summary

Spatial Transcriptomics (ST) analysis is now more accessible with ST Viewer. This tool provides seamless, real-time interaction, analysis, and visualization for ST datasets, simplifying complex data exploration.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Spatial Transcriptomics (ST) generates high-resolution, spatially resolved transcriptome-wide sequencing data.
  • Analyzing and visualizing ST data presents challenges due to complexity and lack of standard tools.

Purpose of the Study:

  • To introduce ST Viewer, an open-source tool designed for ST data analysis and visualization.
  • To provide a user-friendly interface for real-time interaction with complex ST datasets.

Main Methods:

  • Development of the ST Viewer software.
  • Implementation of real-time interaction, analysis, and visualization features for ST data.

Main Results:

  • ST Viewer offers a seamless and smooth user interface for exploring ST datasets.
  • The tool facilitates complex data analysis and visualization, making it accessible to a wider user base.

Conclusions:

  • ST Viewer enhances the accessibility and usability of Spatial Transcriptomics data.
  • The open-source nature of ST Viewer promotes wider adoption and collaboration in the field.