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.
A new deep learning model performs a task that biologists have struggled with for centuries how to measure the incredibly complex process of embryonic development. Scientists have shown that the AI model, known as Dev-ResNet, can identify what happens and when during embryonic development, from video. While used in pond snail embryos for this study, in future the technique could be used to help accelerate understanding on how climate change, and other external factors, affect humans and animals in the earliest stages of life.
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VIDEO: A 3D surface plot of fluctuating pixel brightness in the video of an embryo with the highest peaks, which are orange, indicating the brightest pixels view more
Credit: Dr Oli Tills, University of Plymouth
Scientists have made a major breakthrough in the study of embryonic development and how it can be impacted by external factors such as climate change.
Researchers at the University of Plymouth have developed a cutting edge technique which enables them to instantly examine the biological traits and behaviours of developing embryos as an energy signature, rather than focusing on individual characteristics.
The method, outlined in a study published in