Hexanematic Crossover: Epithelial Monolayer Vertex and Image Data from MDCK Cells

Raw data files from the Nature Communications publication 'Hexanematic crossover in epithelial monolayers depends on cell adhesion and cell density' by Julia Eckert et al. (2023). The dataset includes zipped raw image data and extracted vertices from experiments on wild-type and E-cadherin knockout Madin-Darby canine kidney cell monolayers. Data refers to figures in the paper and is accompanied by analysis software on GitHub.

Use Cases

• Analyzing hexatic-to-nematic order crossover based on extracted cell vertex positions.
• Training computer vision models for cell segmentation and tracking based on raw microscopy images.
• Investigating the impact of E-cadherin adhesion on mesoscale tissue organization.
• Validating computational models of epithelial monolayer mechanics using experimental vertex data.

Strengths

• Data is directly associated with a peer-reviewed publication in Nature Communications (2023).
• Includes both raw image data and processed vertex coordinates for analysis.
• Covers experimental conditions varying cell density, adhesion (wild-type vs. KO), and substrate stiffness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Julia Eckert, Leiden University, and co-authors.

Collection Method

Experimental data from microscopy of Madin-Darby canine kidney cell monolayers.