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# Wound Healing Assay

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The wound healing assay is a microscopy-based technique used to study cell migration. A "wound" or gap is created in a cell monolayer, and the movement of cells into this gap is monitored over time using time-lapse imaging to assess healing dynamics.

Measures cell migration parameters, tested on the Imagen Cell-IQ platform with 0-pixel overlap image grids.
The tool has two parts: grid stitching of time-lapse datasets and the wound healing analysis

Demonstration

## Stitching

- Use the Stitching settings panel to specify grid cell count (each cell in its own directory, named sequentially from top-left to bottom-right horizontally).
- Set filename extension.
- Select directories with grid images (Select directories...).
- Specify output directory (Output...).
- Start with the Stitch button.

## Wound healing analysis

- Configure the Wound healing settings panel: pixel size, time step, and optional downsampling. Check show interactive graph for an interactive plot after each time point.
- Select directories with stitched images (Select directories...).
- Start with the Wound healing button.

Results:

- Plot of minimal, average, and maximal wound width.
- Excel sheet and MATLAB file with wound width values.
- Directory with wound snapshots.
- Text file with timestamps from original images.

Reference

Based on Cell Migration in Scratch Wound Assays by Constantino Carlos Reyes-Aldasoro.
Cite as: CC Reyes-Aldasoro, D Biram, GM Tozer, C Kanthou, Electronics Letters 44 (13), 791-793.
Code available on GitHub.

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