New deep learning model uses video to measure embryonic development
Originally published by University of Plymouth, on May 28, 2024 Pond snail embryos at the University of Plymouth. Credit: University of Plymouth Research led by the University of Plymouth has shown that a new deep learning AI model can identify what happens and when during embryonic development , from video . Published in the Journal of Experimental Biology , the study, titled " Dev-ResNet: Automated developmental event detection using deep learning ," highlights how the model , known as Dev-ResNet , can identify the occurrence of key functional developmental events in pond snails , including heart function, crawling, hatching and even death. A key innovation in this study is the use of a 3D model that uses changes occurring between frames of the video , and enables the AI to learn from these features , as opposed to the more traditional use of still images. The use of video means features ranging from the first heartbeat , or crawling behavior , through t