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Unraveling spatial cellular pattern by computational tissue shuffling.

Elise Laruelle1, Nathalie Spassky2, Auguste Genovesio3

  • 1Institut de Biologie de l'Ecole Normale Supérieure (IBENS), CNRS UMR8197, INSERM U1024, PSL Research University, 46 rue d'Ulm, 75005, Paris, Paris, France.

Communications Biology
|October 24, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces Synthesis of Epithelial Tissue (SET), a novel method for statistically analyzing patterns in tissue microscopy images. SET enables accurate significance testing of cellular patterns within tissues, overcoming limitations of traditional cell culture methods.

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Area of Science:

  • Cell biology
  • Microscopy
  • Bioimage analysis

Background:

  • Reproducible visual observations are crucial in cell biology.
  • Tissue heterogeneity complicates biological replicate collection and statistical analysis.
  • A standard method for assessing statistical significance of patterns in tissue samples is lacking.

Purpose of the Study:

  • To introduce a computational method for reconstructing cell tessellations in epithelial tissues.
  • To enable statistical testing of observed patterns within tissue samples.
  • To provide a tool for identifying statistically significant cellular and subcellular patterns.

Main Methods:

  • The Synthesis of Epithelial Tissue (SET) method reconstructs cell tessellations from microscopy images.
  • SET generates thousands of synthetic tessellations using the same cells.
  • A null distribution is built to statistically assess observed patterns.

Main Results:

  • SET accurately reconstructs cell tessellations and generates synthetic alternatives.
  • The method allows for statistically significant unraveling of visible and invisible patterns.
  • Examples demonstrate application in various tissue types without parameter settings.

Conclusions:

  • SET provides a robust statistical framework for analyzing tissue patterns from single images.
  • The method addresses the challenge of statistical significance testing in heterogeneous tissue samples.
  • SET facilitates the discovery of biological processes underlying observed spatial patterns in epithelia.