Researchers designed a computational framework that consists of a compact metalens-integrated microscope and a transformer-based neural network, which enables large FOV and subpixel resolution imaging ...
Current medical diagnostics involve sending samples to laboratory facilities, which can be difficult and expensive. Researchers at the University of Illinois Urbana-Champaign have designed a ...
A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning microscope that combines simple optical hardware with advanced deep learning ...
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