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Related Concept Videos

Morphogenesis02:19

Morphogenesis

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Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
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MorphoGraphX: A platform for quantifying morphogenesis in 4D.

Pierre Barbier de Reuille1, Anne-Lise Routier-Kierzkowska2, Daniel Kierzkowski2

  • 1Institute of Plant Sciences, University of Bern, Bern, Switzerland.

Elife
|May 7, 2015
PubMed
Summary
This summary is machine-generated.

MorphoGraphX software analyzes curved surfaces for cell shape, proliferation, and gene expression, bridging 3D and 2D imaging gaps. This enables deeper understanding of morphogenesis by linking genetic and mechanical processes.

Keywords:
D. melanogasterarabidopsiscomputational biologyconfocal microscopydevelopmental biologyimage analysismorphogenesismousequantificationsoftwarestem cellssystems biologytomato

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Area of Science:

  • Developmental biology
  • Computational biology
  • Biophysics

Background:

  • Morphogenesis involves complex genetic and mechanical interactions.
  • Quantifying cell shape, proliferation, and gene expression is crucial for understanding development.
  • Existing 3D and 2D imaging methods have limitations in accuracy and computational cost.

Purpose of the Study:

  • To introduce MorphoGraphX, a novel software for analyzing curved biological surfaces.
  • To overcome the limitations of traditional 3D and 2D imaging in studying morphogenesis.
  • To provide a platform for investigating the interplay between genetic and mechanical factors in development.

Main Methods:

  • Developed algorithms for cell segmentation, lineage tracking, and fluorescence quantification on curved surfaces.
  • Utilized 3D image data to extract and analyze curved surface representations.
  • Designed a modular software architecture for extensibility and integration of new algorithms.

Main Results:

  • MorphoGraphX enables direct analysis of curved surface images, avoiding geometrical artifacts.
  • The software facilitates accurate quantification of cell behaviors and gene expression.
  • Exportable cell geometries can serve as input for simulation models.

Conclusions:

  • MorphoGraphX provides a powerful tool for studying morphogenesis by integrating genetic and mechanical process analysis.
  • The software bridges the gap between computational expense and geometrical accuracy in biological imaging.
  • Facilitates advanced research into the multiscale interactions driving developmental processes.