657 citations · 871 across the 4 of their papers we have counts for
4 papers
An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning
Artem Goncharov, Zoltan Gorocs, Ridhi Pradhan +12
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional ele…
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer
Zoltan Gorocs, David Baum, Fang Song +8
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput…
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…