Article

Semi-quantitative Classification of HIV-1 Nucleic Acids Using ResNet Image Analysis of Discretized Isothermal Amplification Reactions in a Microfluidic Chip

2026-06-24

Abstract excerpt

Isothermal nucleic acid amplification tests enable rapid and decentralized molecular diagnostics but often lack robust quantitative readouts compared to quantitative PCR. Here, we present a semi-quantitative nucleic acid measurement approach using machine learning to extract spatiotemporal features from real-time fluorescence imaging of rapid isothermal amplification reactions in microfluidic chips. A convolutiona...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 65fb7917-e664-56ad-a999-07e7f41d7135
DOI: 10.64898/2026.06.24.734232

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Semi-quantitative Classification of HIV-1 Nucleic Acids Using ResNet Image Analysis of Discretized Isothermal Amplification Reactions in a Microfluidic ChipDOI 10.64898/2026.06.24.734232Read

Paper Microfluidics with Deep Learning for Portable Intelligent Nucleic Acid Amplification TestsSemantic proximity Read

Probe-Free Multiplexed RPA Detection Via Single-Molecule Nanopore Sensing and Deep Learning ClassificationSemantic proximity Read

Deep Learning‐Enhanced Hand‐Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPRSemantic proximity Read

A Deep Learning Approach to Quantitative PCR that Learns from Ground TruthSemantic proximity Read

Competitive Amplification Networks enable molecular pattern recognition with PCRSemantic proximity Read

SARS-CoV-2 Result Interpretation based on Image Analysis of Lateral Flow DevicesSemantic proximity Read

Adaptable Automated Interpretation of Rapid Diagnostic Tests Using Few-Shot LearningSemantic proximity Read

Improving Detection Limits in Capillary Diagnostic Assays Through Kinetic Image Analysis and Time-Resolved Signal ExtractionSemantic proximity Read

AI-assisted automated endpoint interpretation for turbidity-based digital LAMP using bright-field microscopySemantic proximity Read

A deep learning approach to real-time HIV outbreak detection using genetic dataSemantic proximity Read

AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future DirectionsSemantic proximity Read

Octopi 2.0: Open and Scalable Microscopy Platform for AI-powered Diagnostic ApplicationsSemantic proximity Read