2.6k citations · 9.9k across the 41 of their papers we have counts for
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Deep learning enhanced mobile-phone microscopy
Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang +8
Mobile-phones have facilitated the creation of field-portable, cost-effective imaging and sensing technologies that approach laboratory-grade instrument performance. However, the o…
Deep Learning Microscopy
Yair Rivenson, Zoltan Gorocs, Harun Gunaydin +3
We demonstrate that a deep neural network can significantly improve optical microscopy, enhancing its spatial resolution over a large field-of-view and depth-of-field. After its tr…
Phase recovery and holographic image reconstruction using deep learning in neural networks
Yair Rivenson, Yibo Zhang, Harun Gunaydin +2
Phase recovery from intensity-only measurements forms the heart of coherent imaging techniques and holography. Here we demonstrate that a neural network can learn to perform phase…