Wound Healing & Edge Polarisation — Endpoint
Quantifies the remaining wound area and the orientation or polarisation of cells at a wound edge from endpoint images.
- Brightfield, phase-contrast, or fluorescence image showing the cell monolayer and open wound region
- Optional Ch1: DAPI or Hoechst for nuclei
- Optional Ch2: cell-body or cytoskeletal marker such as phalloidin for orientation analysis
- Optional matched baseline image for percentage-closure calculation
- Remaining wound area
- Wound width or gap-width distribution
- Percentage closure when a matched baseline is supplied
- Cell or filament orientation relative to the wound edge
- Polarised-cell fraction near the wound edge
- Cell density at defined distances from the wound edge
Everything you need for wound healing & edge polarisation — endpoint
Automated, reproducible, and code-free analysis in the cloud
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Fully automated
Upload your images and get publication-ready results. No coding or scripting needed.
Reproducible
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How it runs
Cytely automates the image analysis so you can focus on the science.
Segment the open wound region
Identify the wound boundary
Measure area and width
Optionally segment cells or analyse filament orientation in edge-adjacent regions
Compare orientation with the local wound-edge axis
Calculate percentage closure when a baseline image is available.
Compatibility
Ready to run
Endpoint scratch-wound assay, wound-edge cell polarisation, cytoskeletal alignment relative to the wound edge, fixed-time-point comparisons, baseline-versus-endpoint closure measurements using independently supplied images.
Inquire for support
Automatic time-series registration, individual-cell tracking, migration velocity, trajectory analysis, lineage tracking, or kinetic closure curves.
1 Dependent on sample quality
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