We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Novel Synergistic Platform Accurately Detects Viruses at Lowest of Concentrations

By LabMedica International staff writers
Posted on 23 Oct 2023
Print article
Image: The deep learning-based biosensing platform can count viral particles better (Photo courtesy of GIST)
Image: The deep learning-based biosensing platform can count viral particles better (Photo courtesy of GIST)

Rapid and on-site methods for detecting and quantifying viruses are crucial for both treating infected individuals and controlling the spread of the disease. The COVID-19 crisis has underscored the need for dependable, yet easily accessible tests that eliminate the complicated and lengthy procedures associated with traditional lab-based diagnostics. Bright-field microscopic imaging is a commonly used point-of-care technology for quantifying viral loads. However, the tiny size and low refractive index of viruses and similar bioparticles can make accurate detection challenging, and increase the lowest detectable concentration of viral load. While Gires-Tournois (GT) biosensors—nanophotonic resonators—have shown promise in detecting small virus particles, their utilization has been limited by issues like visual artifacts and non-reproducibility.

In a recent breakthrough, an international team of researchers, led by the Gwangju Institute of Science and Technology (GIST, Gwangju, Korea) turned to artificial intelligence (AI) to resolve this issue. They introduced a combined biosensing technology named "DeepGT." This technology combines the strengths of GT biosensors with deep learning algorithms to accurately quantify nanoscale bioparticles, such as viruses, without the need for complex sample preparation. Specifically, the team engineered a GT biosensor with a three-layer thin film design and treated it so it could detect color changes when interacting with targeted materials. To confirm its capabilities, they simulated the interaction between host cells and a virus using particles designed to resemble the SARS-CoV-2 virus.

Further, the team trained a convolutional neural network (CNN) using more than a thousand optical and scanning electron micrographs of the GT biosensor surface with different types of nanoparticles. Their findings revealed that DeepGT was not only able to refine visual artifacts common to bright-field microscopy but also could glean essential details even when the viral concentration was as low as 138 pg ml–1. Additionally, the system calculated the number of bioparticles with significant accuracy, noted by a mean absolute error of just 2.37 across nearly 1,600 images, compared to a 13.47 error rate for traditional rule-based approaches—all within a second's time. The CNN-enhanced biosensing system could also gauge the seriousness of the infection, from asymptomatic cases to severe ones, based on the viral load. Thus, DeepGT offers a speedy and exact method for virus detection across a wide range of sizes without being restricted by the inherent limitations of visible light diffraction.

"We designed DeepGT to objectively assess the severity of an infection or disease. This means that we will no longer have to rely solely on subjective assessments for diagnosis and healthcare but will instead have a more accurate and data-driven approach to guide therapeutic strategies," said Professor Young Min Song from GIST. "Our approach provides a practical solution for the swift detection and management of emerging viral threats as well as the improvement of public health preparedness by potentially reducing the overall burden of costs associated with diagnostics."

Related Links:

Platinum Supplier
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Gold Supplier
Pipette Controller
Sapphire MaxiPette
POCT Fluorescent Immunoassay Analyzer
C. difficile Toxins Test

Print article


Clinical Chemistry

view channel
Image: A module with eight micro-devices, complete with microfluidic channels and drive motors (Photo courtesy of U.S Department of Energy)

Highly Sensitive pH Sensor to Aid Detection of Cancers and Vector-Borne Viruses

Understanding the acidity or alkalinity of substances through pH measurement is crucial in many fields, from environmental monitoring to healthcare product safety. In many cases, these measurements must... Read more

Molecular Diagnostics

view channel
Image: Scientists have discovered a new amyloid-forming protein in neurodegenerative disease (Photo courtesy of 123RF)

Discovery of Rogue Protein Paves Way for Diagnostic Test to Detect Early-Onset Dementia

Neurodegenerative disorders are often marked by the buildup of amyloid filament inclusions of specific proteins in the brain. These proteins are critical in diagnosing and treating the associated diseases.... Read more


view channel
Image: The QScout hematology analyzer has received US FDA 510(k) clearance (Photo courtesy of Ad Astra Diagnostics)

First Rapid-Result Hematology Analyzer Reports Measures of Infection and Severity at POC

Sepsis, a critical medical condition that arises as an extreme response to infection, poses a significant health threat. It occurs when an infection triggers a widespread inflammatory response in the body.... Read more


view channel
Image: PointCheck is the world’s first device for non-invasive white cell monitoring (Photo courtesy of Leuko Labs)

World’s First Portable, Non-Invasive WBC Monitoring Device to Eliminate Need for Blood Draw

One of the toughest challenges for cancer patients undergoing chemotherapy is experiencing a low count of white blood cells, also known as neutropenia. These cells play a crucial role in warding off infections.... Read more


view channel
Image: Three examples of Anthrobots with hair-like cilia in yellow (Photo courtesy of Gizem Gumuskaya)

Tiny Biological Robot Healers Built From Human Cells Could Recognize Bacteria

In a pioneering study, researchers have developed microscopic biological robots, termed Anthrobots, from human tracheal cells. These tiny robots, varying in size from the width of a human hair to the tip... Read more


view channel
Image: Made-to-order diagnostic tests may soon be on the horizon (Photo courtesy of McGill University)

Breakthrough in Diagnostic Technology Could Make On-The-Spot Testing Widely Accessible

Home testing gained significant importance during the COVID-19 pandemic, yet the availability of rapid tests is limited, and most of them can only drive one liquid across the strip, leading to continued... Read more


view channel
Image: Covaris offers instruments, consumables, and reagents for high-throughput genomic and proteomic analysis (Photo courtesy of Covaris)

PerkinElmer Acquires Covaris to Create Global Life-Sciences and Diagnostics Platform

PerkinElmer, Inc. (Waltham, MA, USA), a global analytical services and solutions provider has acquired Covaris (Woburn, MA, USA), a developer of solutions to empower life science innovations.... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.