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    Summary
    This summary is machine-generated.

    Integrating molecular networks with macroscopic biological functions is challenging. This study presents an image-based modeling pipeline for morphogenesis, linking molecular regulation to complex developmental processes.

    Keywords:
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    Area of Science:

    • Developmental biology
    • Systems biology
    • Computational biology

    Background:

    • Integrating data across biological length and time scales is a major challenge.
    • Understanding how molecular networks influence macroscopic properties and adapt to mutations is crucial.
    • Morphogenesis offers a model to study robust control of complex processes from simple networks.

    Purpose of the Study:

    • To present a pipeline for image-based modeling of biological control.
    • To analyze how molecular networks robustly control macroscopic processes.
    • To investigate the emergence of functional variants from genetic changes during development.

    Main Methods:

    • Image-based modeling pipeline.
    • Segmentation of biological images.
    • Determination of displacement fields.
    • Solving partial differential equations on growing embryonic domains.

    Main Results:

    • Development of a pipeline for realistic biological modeling.
    • Enabling analysis of morphogenesis at multiple scales.
    • Facilitating the study of molecular noise and genetic variation effects.

    Conclusions:

    • Image-based modeling advances the integration of multi-scale biological data.
    • Mathematical modeling and parameter inference remain key challenges.
    • This approach aids in understanding robust biological control and evolutionary processes.