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Related Concept Videos

Phases of Wound Repair01:28

Phases of Wound Repair

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Following injury, the integrity of the injured tissues must be reestablished. For example, in skin tissue, wound repair involves coordination among resident skin cells, blood mononuclear cells, extracellular matrix, growth factors, and cytokines to complete the healing cascade.
Formation of Blood Clot
In case of deep injuries, trauma to blood vessels results in blood loss. In the meantime, phospholipids released from the ruptured endothelial cellular membrane are converted into arachidonic...
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Related Experiment Video

Updated: Jul 23, 2025

Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model
07:56

Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model

Published on: January 10, 2025

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Quantifying innervation facilitated by deep learning in wound healing.

Abijeet Singh Mehta1, Sam Teymoori2, Cynthia Recendez1

  • 1University of California, Davis.

Research Square
|July 18, 2023
PubMed
Summary

Peripheral nerves play a key role in wound healing. This study introduces an automated method using deep neural networks to quantify skin re-innervation during healing, revealing a positive correlation with re-epithelialization.

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Related Experiment Videos

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Area of Science:

  • Neuroscience
  • Dermatology
  • Biomedical Engineering

Background:

  • Peripheral nerves (PNs) are crucial for skin innervation and wound healing.
  • Current methods for quantifying skin innervation are complex, labor-intensive, and prone to errors.
  • Immunohistochemistry (IHC) images often contain noise, hindering accurate analysis.

Conclusions:

  • Established a quantitative time course for re-innervation during wound healing.
  • Demonstrated the association between re-innervation and re-epithelialization.
  • The developed automated image analysis tool provides a novel and efficient method for quantifying skin innervation.