Deep learning-enhanced chemiluminescence vertical flow assay for high-sensitivity cardiac troponin I testing
Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz, Shun Ye, Hyou-Arm Joung,, Rajesh Ghosh, Emily Ngo, Aoi Tomoeda, Yena Lee, Kevin Ngo, Elizabeth Melton,, Omai B. Garner, Dino Di Carlo, Aydogan Ozcan

TL;DR
This paper presents a chemiluminescence-based vertical flow assay enhanced with deep learning for highly sensitive, rapid, and low-cost cardiac troponin I detection at the point-of-care, surpassing traditional lab methods.
Contribution
It introduces a novel integrated system combining chemiluminescent sensing, imaging, and neural network analysis for ultra-sensitive cardiac biomarker testing.
Findings
Detection limit of 0.16 pg/mL for cTnI
Operates with 50 uL serum in 25 minutes
Achieves high correlation with clinical-grade analyzers
Abstract
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-sensitivity detection of cardiac troponin I (cTnI) through innovations in chemiluminescence-based sensing, imaging, and deep learning-driven analysis. This chemiluminescence vertical flow assay (CL-VFA) enables rapid, low-cost, and precise quantification of cTnI, a key cardiac protein for assessing heart muscle damage and myocardial infarction. The CL-VFA integrates a user-friendly chemiluminescent paper-based sensor, a polymerized enzyme-based conjugate, a portable high-performance CL reader, and a neural network-based cTnI concentration inference algorithm. The CL-VFA measures cTnI over a broad dynamic range covering six orders of magnitude and operates with 50 uL of serum per test, delivering results in 25…
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