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Related Experiment Video

Updated: Oct 7, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Spatially resolved transcriptomics in immersive environments.

Denis Bienroth1,2, Hieu T Nim2,3,4, Dimitar Garkov1

  • 1Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.

Visual Computing for Industry, Biomedicine, and Art
|January 10, 2022
PubMed
Summary
This summary is machine-generated.

VR-Cardiomics offers interactive virtual reality tools for visualizing complex spatial transcriptomics data. This system helps biologists explore gene expression patterns in 3D, aiding in organ and heart expression profile analysis.

Keywords:
Fish tank virtual realityHead-mounted displayImmersive analyticsImmersive environmentSpatial transcriptomicsSpatially-resolved transcriptomicsVirtual reality

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Spatially resolved transcriptomics generates high-throughput gene expression data with spatial information.
  • Interpreting and visualizing these complex datasets presents a significant challenge for biologists.

Purpose of the Study:

  • To introduce VR-Cardiomics, a novel interactive data visualization system for spatially resolved transcriptomic data.
  • To enable biologists to interpret and explore gene expression patterns in three-dimensional (3D) space.

Main Methods:

  • Development of VR-Cardiomics implemented in fish tank virtual reality (FTVR) and head-mounted display virtual reality (HMD-VR) environments.
  • Interactive functionalities allow for visual exploration of gene expression and comparison of 3D expression profiles.
  • A biologist-driven use-case focusing on heart expression profiles was conducted.

Main Results:

  • Biologists can interact with spatial transcriptomics data in unprecedented ways.
  • Visual exploration of organ-wide gene expression patterns is facilitated.
  • Comparison of gene expression profiles across different spatial locations is enabled.

Conclusions:

  • VR-Cardiomics provides an effective solution for interpreting complex spatial transcriptomics data.
  • Immersive virtual reality environments enhance the understanding of gene expression in biological tissues.
  • The system supports comparative analysis of gene expression, particularly for organ studies like the heart.