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    Deep Learning Speeds 3D Microscopic Neuroimaging

    Article obtained from Photonics RSS Feed.

    Using deep learning techniques, researchers from the Salk Institute have developed a new microscopy approach that could make microscopic techniques used for brain imaging 16 times faster. The researchers trained their deep learning system using data from the Texas Advanced Computing Center (TACC) at The University of Texas at Austin (UT Austin).

    Uri Manor, director of the Waitt Advanced Biophotonics Core Facility at the Salk Institute for Biological Studies, believed that deep learning could be used to increase the resolution of microscopic images, similar to the way it has been used to increase resolution in satellite and MRI images. With image analysis specialist Linjing Fang, he developed a way to use graphics processing units…

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    Jan, 14 2020 |

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