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To understand the functions of the brain, it is necessary to first map how different cells and cell parts interact in three-dimensions. However, doing so with existing equipment and methods has been a challenge.

Researchers from the Salk Institute in San Diego have developed a new approach using deep learning that can speed up brain image microscopy by 16 times.

The team trained the deep learning system using data from University of Texas researchers and supercomputers at TACC.

The project shows the capacity of cross-disciplinary collaborations to spur scientific discoveries.


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