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• Gebäck, Tobias, et al. "TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays: Short Technical Reports." Biotechniques 46.4 (2009): 265-274.
• Suarez-Arnedo, Alejandra, et al. "An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays." bioRxiv (2020).
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• Topman, Gil, Orna Sharabani-Yosef, and Amit Gefen. "A standardized objective method for continuously measuring the kinematics of cultures covering a mechanically damaged site." Medical engineering & physics 34.2 (2012): 225-232.
• Grada, Ayman, et al. "Research techniques made simple: analysis of collective cell migration using the wound healing assay." Journal of Investigative Dermatology 137.2 (2017): e11-e16.
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• Wound healing image segmentation tool: http://dev.mri.cnrs.fr/projects/imagej-macros/wiki/Wound_Healing_Tool
• Mayalı, Berkay, et al. "Automated Analysis of Wound Healing Microscopy Image Series-A Preliminary Study." 2020 Medical Technologies Congress (TIPTEKNO). IEEE, 2020.
• Image annotation online tool: https://supervise.ly