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A Method for Characterizing Embryogenesis in Arabidopsis
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An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis.

Zelin Li1,2, Zhaoke Huang1,2, Jianfeng Cao1,2,3

  • 1Department of Electrical Engineering City University of Hong Kong Hong Kong China.

Quantitative Biology (Beijing, China)
|February 12, 2026
PubMed
Summary

We developed 3D Cell Shape Quantification (3DCSQ) to analyze complex 3D embryonic cell shapes. This method effectively quantifies cell morphology and tracks differentiation during development.

Keywords:
Caenorhabditis elegans (C. elegans)cell shape quantificationeigen features (eigengrid, eigenharmonic & eigenspectrum)lineage analysismorphological reproducibilityspherical harmonics (SPHARM)

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Area of Science:

  • Developmental Biology
  • Cell Biology
  • Bioimaging

Background:

  • Quantifying 3D embryonic cell shape is crucial but challenging.
  • Traditional methods lack local detail and reconstruction capabilities.
  • Dynamic cell morphology is key to understanding embryogenesis.

Purpose of the Study:

  • Introduce 3D Cell Shape Quantification (3DCSQ) for precise 3D cell shape analysis.
  • Develop analytical feature vectors (eigengrid, eigenharmonic, eigenspectrum).
  • Systematize cell shape description and monitor cell differentiation.

Main Methods:

  • Combine spherical grids, spherical harmonics, and principal component analysis.
  • Transform digitized 3D cell shapes into analytical feature vectors.
  • Apply 3DCSQ to Caenorhabditis elegans embryos.

Main Results:

  • 3DCSQ effectively recognizes cellular morphological phenotypes and clusters cells.
  • Identified and quantified reproducible cellular patterns, including skin cell deformations.
  • Developed an automated cell shape lineaging analysis program.

Conclusions:

  • 3DCSQ offers a systematic approach to cell shape description and evaluation.
  • The method advances biological imaging by monitoring cell differentiation via shape changes.
  • This technique provides new insights into developmental processes.