StomaVision

Leaf World Model and Stomata

Free · Designed for iPad

The world most effiencet on device stomata analysis and proprietary Microscopic world model demo StomaVision is a research grade, stomata analysis and simulation experience. It segments microscope images into trustworthy morphometrics, and showcases a proprietary technology of microscopic world model for education and future computational biology. Why stomata matter > Stomata regulate CO2 uptake and water loss of global vegetation. Measuring their density, size spacing, and morphology links physiology to productivity, stress tolerance, and global climate resilience. What StomaVision does - Analyzes microscope images on your own device in seconds powered by the most efficient stomatal segmentation model developed by LumaNorm Studio World Model Project - Shows overlays and instance lists for review and manual refinement (add or delete interactively). - Supports batch processing with group comparisons at unprecedented speed than any existing published models. - A research preview demo of LumaNorm Studio proprietary Leaf World Model: synthetic stomata, veins, and epidermal walls with a tunable physiology HUD. Our foundational Leaf World Model supports: dicot and monocot stomata geometry, DIC style rendering, stress responses, light responses, and a 24-hour diurnal model (photoperiod + nocturnal conductance) to animate apeature opening and closure in a biologically representative way.

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Performance improved and bugs squashed.

The developer, Mengjie Fan, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

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    • Seller
      • Mengjie Fan
    • Size
      • 49.5 MB
    • Category
      • Education
    • Compatibility
      Requires iOS 17.0 or later.
      • iPhone
        Requires iOS 17.0 or later.
      • iPad
        Requires iPadOS 17.0 or later.
      • Mac
        Requires macOS 14.0 or later and a Mac with Apple M1 chip or later.
      • Apple Vision
        Requires visionOS 1.0 or later.
    • Languages
      • English
    • Age Rating
      4+
    • Copyright
      • © Mengjie Fan