AT DUKE University, Biomedical engineers has developed an AI based automated process that can trace the shapes of active neurons as accurately as human researchers.
According to a published Paper in the proceeding of the National Academy of Science, This new technique is based on Using AI to interpret video images, addresses a critical roadblock in neuron real-time behavioral studies.
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“As a critical step towards complete mapping of brain activity, we were tasked with the formidable challenge of developing a fast automated algorithm that is as accurate as humans for segmenting a variety of active neurons imaged under different experimental setting,” said Sina Farsiu, The Paul Ruffin Scarborough Associate Professor of Engineering at Duke.
“The data analysis bottleneck has existed in neuroscience for a long time. Data analysis have spent hours and hours processing minutes of data, but this algorithm can process a 30-minute video in 20-30 minutes,” Said Yiyang Gong, Assistant Professor in Duke BME.