An artificial neural network is used to transform low-resolution microscopic images of samples into high-resolution images, revealing more details of the sample, which could be crucial for pathology and medical diagnostics. (Credit: Ozcan Research Group/UCLA)
Researchers from the University of California- Los Angeles have developed a new uses for deep learning; specifically, reconstructing a hologram.
It will be used to form optical microscopic images.
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