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Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
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    Visualizing complex hierarchical data over time is challenging. Our new method offers a clear overview of changes and structures, improving data evolution understanding.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Data Science

    Background:

    • Visualizing hierarchically structured data over time presents significant challenges.
    • Existing methods like animated trees or nested streamgraphs have limitations in overview and detail.

    Purpose of the Study:

    • To propose a novel visual metaphor for visualizing hierarchical data changes over time.
    • To enable a clear overview of temporal hierarchical evolution and detailed structure at each time step.

    Main Methods:

    • Developed a new visual metaphor integrating treemaps and nested streamgraphs.
    • Enabled smooth transitions between static overviews and detailed time-step structures.
    • Handled all types of topological changes in hierarchical data.

    Main Results:

    • The proposed method provides a static overview of all hierarchical changes.
    • It clearly outlines the hierarchical structure at individual time steps.
    • Facilitates exploration of the trade-off between dynamic behavior and hierarchical structure.

    Conclusions:

    • The novel visual metaphor effectively addresses challenges in visualizing time-varying hierarchical data.
    • Suitable for diverse applications due to its ability to handle complex hierarchical changes.
    • User study and source code availability support its utility and adoption.