A. Ozcan

Single-tier point-of-care serodiagnosis of Lyme disease

This paper develops a single-tier point-of-care serodiagnostic test for Lyme disease using synthetic peptides and machine learning, achieving sensitivity and specificity comparable to traditional two-tier lab tests.

Amphiphilic particle-stabilized nanoliter droplet reactors with a multi-modal portable reader for distributive biomarker quantification

This paper develops a portable droplet reactor system for biomarker quantification in resource-limited settings, achieving low detection limits and comparable accuracy to ELISA.

The neutralization effect of Montelukast on SARS-CoV-2 is shown by multiscale in silico simulations and combined in vitro studies

This paper shows Montelukast inhibits SARS-CoV-2 by targeting both Spike/ACE2 and main protease through in silico and in vitro studies.

Addressable Nanoantennas with Cleared Hotspots for Single-Molecule Detection on a Portable Smartphone Microscope

This paper introduces NACHOS, a DNA origami-based nanoantenna system that enables single-molecule detection using a smartphone microscope, reducing costs and complexity.

DEEP LEARNING-ENABLED POINT-OF-CARE SENSING USING MULTIPLEXED PAPER-BASED SENSORS

This paper presents a deep learning framework for designing and quantifying point-of-care sensors, demonstrating a paper-based VFA for high-sensitivity hsCRP testing with competitive accuracy and hook-effect mitigation.

Deep learning achieves super-resolution in fluorescence microscopy

This paper introduces a deep learning method that achieves super-resolution in fluorescence microscopy without requiring numerical models or parameter tuning, successfully resolving images with low numerical aperture lenses and diffraction-limited confocal microscopy.