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IMAGE: The video shows the results of the SUNS online technique without the tracking option enabled (left) and with the tracking option enabled (right). The green contours in the right panels. view more
Credit: Yiyang Gong, Duke University
DURHAM, N.C. Biomedical engineers at Duke University have developed an automatic process that uses streamlined artificial intelligence (AI) to identify active neurons in videos faster and more accurately than current techniques.
The technology should allow researchers to watch an animal s brain activity in real time, as they are behaving.
The work appears May 20 in
Nature Machine Intelligence.
One of the ways researchers study the activity of neurons in living animals is through a process known as two-photon calcium imaging, which makes active neurons appear as flashes of light. Analyzing these videos, however, typically requires a human circling every burst of intensity they see in a process called segmenta