89 citations · 164 across the 3 of their papers we have counts for
4 papers
A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning
Merve Eryilmaz, Artem Goncharov, Gyeo-Re Han +6
The rapid spread of SARS-CoV-2 caused the COVID-19 pandemic and accelerated vaccine development to prevent the spread of the virus and control the disease. Given the sustained high…
Deep learning-enabled multiplexed point-of-care sensor using a paper-based fluorescence vertical flow assay
Artem Goncharov, Hyou-Arm Joung, Rajesh Ghosh +8
We demonstrate multiplexed computational sensing with a point-of-care serodiagnosis assay to simultaneously quantify three biomarkers of acute cardiac injury. This point-of-care se…
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder
Calvin Brown, Artem Goncharov, Zachary Ballard +5
Conventional spectrometers are limited by trade-offs set by size, cost, signal-to-noise ratio (SNR), and spectral resolution. Here, we demonstrate a deep learning-based spectral re…
Resolution enhancement in scanning electron microscopy using deep learning
Kevin de Haan, Zachary S. Ballard, Yair Rivenson +2
We report resolution enhancement in scanning electron microscopy (SEM) images using a generative adversarial network. We demonstrate the veracity of this deep learning-based super-…