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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
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The Image Data Explorer: Interactive exploration of image-derived data.

Coralie Muller1, Beatriz Serrano-Solano1, Yi Sun1

  • 1Cell Biology and Biophysics Unit, Heidelberg, Germany.

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|September 15, 2022
PubMed
Summary
This summary is machine-generated.

The Image Data Explorer (IDE) is a web application for bioimage analysis. It enables interactive exploration of quantitative image data and visual characteristics in cloud environments.

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Area of Science:

  • Bioimage analysis
  • Computational biology
  • Data visualization

Background:

  • Bioimage analysis generates quantitative data from image regions.
  • Linking quantitative descriptors to visual features is crucial for data interpretation.
  • Cloud-based workflows necessitate remote interactive data exploration tools.

Purpose of the Study:

  • To develop a web application for interactive bioimage data exploration.
  • To integrate visualization, data analysis, and annotation functionalities.
  • To facilitate exploration of quantitative image descriptors in cloud environments.

Main Methods:

  • Developed the Image Data Explorer (IDE) as an R Shiny web application.
  • Integrated interactive linked visualization of images and data points.
  • Incorporated exploratory data analysis, annotation, classification, and feature selection.

Main Results:

  • The IDE provides linked visualization of bioimages and their quantitative data.
  • It supports interactive data exploration, annotation, and classification.
  • The application is deployable on remote servers and local computers.

Conclusions:

  • The Image Data Explorer addresses the need for interactive bioimage data exploration in cloud settings.
  • It facilitates the association of quantitative descriptors with visual characteristics.
  • The tool enhances understanding and analysis of bioimage data.