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Related Experiment Video

Updated: Jan 2, 2026

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes.

Helena Brezovjakova1, Chris Tomlinson2, Noor Mohd Naim1

  • 1National Heart and Lung Institute, National Institutes of Health, London, United Kingdom.

Elife
|December 4, 2019
PubMed
Summary

Junction Mapper is new open-access software that semi-automatically quantifies cell-cell junctions. This tool overcomes major roadblocks in studying tissue architecture and cell adhesion dynamics in health and disease.

Keywords:
cancer biologycell biologycell-cell contactscomputer visionhumanimage analysisjunction regulationsoftware developmenttissue cohesion

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Area of Science:

  • Cell biology
  • Biophysics
  • Software development

Background:

  • Stable cell-cell contacts are crucial for tissue architecture.
  • Quantifying cell junctions in mammalian epithelia is labor-intensive and hinders research.
  • Existing methods struggle with fragmented or non-epithelial cell junctions.

Purpose of the Study:

  • To develop an open-access, semi-automated software, Junction Mapper, for efficient and accurate quantification of cell-cell junctions.
  • To overcome limitations of manual measurements and enable detailed analysis of junction dynamics.
  • To provide a tool for differentiating junction disruption phenotypes in various biological contexts.

Main Methods:

  • Junction Mapper software was designed for semi-automated analysis of cell-cell contacts.
  • It simultaneously measures pre-defined parameters at interfaces and corners.
  • The software quantifies junction length, area, and marker intensity, handling fragmented junctions and non-epithelial cell types.

Main Results:

  • Junction Mapper successfully identifies and quantifies cell-cell interfaces and corners with minimal user input.
  • It uniquely measures fragmented junctions and atypical junction morphologies (e.g., in cardiomyocytes, endothelia).
  • The software clearly differentiates junction disruption phenotypes caused by oncogenes, actin regulator depletion, or other agents.

Conclusions:

  • Junction Mapper is a powerful, unbiased, and versatile software for profiling cell-cell adhesion phenotypes.
  • It significantly facilitates mechanistic studies on junction dynamics in both normal physiological conditions and disease states.
  • This tool enhances the ability to study the impact of genetic and environmental factors on cell adhesion.