Deep Learning Analysis of Wound Healing in Flies

Explore a scientific seminar presentation where Dr. Jake Turley from the University of Bristol discusses groundbreaking research on wound healing mechanisms using Drosophila pupae as a model organism. Discover how deep learning algorithms achieve 97% accuracy in identifying dividing cells and their orientation relative to wound margins. Learn about the three key cell behaviors contributing to wound re-epithelialization: cell shape deformation, cell division, and cell migration. Understand the spatial-temporal distribution of cell divisions during wound healing, including the fascinating discovery of synchronized cell division bursts occurring 2 hours post-wounding. Gain insights into how chemical and mechanical signals influence wound healing processes, and how genetic modifications of wound signals impact healing mechanisms. Delve into the potential clinical applications of this research for developing future wound treatment strategies. The presentation, part of the "New statistical physics in living matter" series, combines advanced microscopy techniques with machine learning tools to quantify and analyze complex biological processes.