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Related Experiment Video

Updated: Dec 13, 2025

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
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High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in

Xi Zhang1, Zijian Hu1, Yayu Guo1

  • 1College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 10083 China.

Plant Methods
|August 4, 2020
PubMed
Summary
This summary is machine-generated.

This study presents an efficient, open-source method for analyzing plant cell structures in raw images. The procedure accurately quantifies cell patterns and organization, aiding plant morphogenesis research.

Keywords:
Image processingLarge-scale imagingMorphogenesisParametersPlant multicellularity

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Area of Science:

  • Plant biology
  • Bioimaging
  • Computational biology

Background:

  • Novel imaging techniques offer opportunities to study plant morphogenesis.
  • Challenges include complex image processing, cell identification, parameter quantification, and software costs.
  • Efficient methods are needed to analyze plant multicellularity in raw micrographs.

Purpose of the Study:

  • To develop a high-efficiency procedure for characterizing, segmenting, and quantifying plant multicellularity in raw images.
  • To provide an accessible, cost-effective solution using open-source software.

Main Methods:

  • Utilized open-source software ImageJ and SR-Tesseler.
  • Developed a procedure for automatic quantification of cell patterns and organization.
  • Validated the method on diverse plant image types (fluorescent, Micro-CT, dyed sections) from *Arabidopsis thaliana* and *Populus tremula*.

Main Results:

  • Enabled rapid, accurate, automatic quantification from tissue to cellular levels.
  • Determined cell parameters: area, centroid coordinate, perimeter, and Feret's diameter.
  • Extracted cell distribution patterns using Voronoï diagrams based on density, distance, or area thresholds.

Conclusions:

  • The developed procedure efficiently determines the character and organization of multicellular plant tissues.
  • Enables precise parameter identification and polygon-based segmentation of plant cells.
  • Offers a valuable tool for plant morphogenesis research.