Performing electron microscopy measurements using deep learning (IMAGE)
Caption
Electron microscopy measurements are usually performed by collecting all points in a 2D grid. Here, using deep learning in real time, only sites of interest are measured (colored circles), allowing experiments to be conducted on a much larger variety of materials, even those that change under the beam.
Credit
Kevin Roccapriore and Scott Gibson/ORNL, U.S. Dept. of Energy
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License
Original content