Deep Learning-based Kinetic Analysis in Paper-based Analytical Cartridges Integrated with Field-effect Transistors

no code implementations • 27 Feb 2024 • Hyun-June Jang, Hyou-Arm Joung, Artem Goncharov, Anastasia Gant Kanegusuku, Clarence W. Chan, Kiang-Teck Jerry Yeo, Wen Zhuang, Aydogan Ozcan, Junhong Chen

This study explores the fusion of a field-effect transistor (FET), a paper-based analytical cartridge, and the computational power of deep learning (DL) for quantitative biosensing via kinetic analyses.

Neural network-based on-chip spectroscopy using a scalable plasmonic encoder

no code implementations • 1 Dec 2020 • Calvin Brown, Artem Goncharov, Zachary Ballard, Mason Fordham, Ashley Clemens, Yunzhe Qiu, Yair Rivenson, Aydogan Ozcan

Conventional spectrometers are limited by trade-offs set by size, cost, signal-to-noise ratio (SNR), and spectral resolution.

Spectral Reconstruction