Rapid Point-of-Care COVID-19 Antigen Test Based on Waveguide Technology Could Deliver Results in Under Six Minutes
By HospiMedica International staff writers Posted on 25 Feb 2021 |
Image: LightDeck (Photo courtesy of LightDeck Diagnostics)
A point-of-care COVID-19 antigen test currently under development promises to deliver results in less than six minutes by using the simple test procedure of waveguide technology.
LightDeck Diagnostics (Boulder, CO, USA) is developing the LightDeck COVID-19 Antigen Test that leverages the highly sensitive and simple test procedure of waveguide technology with cost-effective manufacturing techniques to deliver an accurate, scalable test. The LightDeck antigen test will be a significantly faster alternative to the current PCR based diagnostic tests, and offer better sensitivity and specificity than the available lateral flow-based tests that require at least 15 minutes to deliver results.
LightDeck has been awarded a USD 5.65 million contract from the Biomedical Advanced Research and Development Authority (BARDA), part of the Office of the Assistant Secretary for Preparedness and Response at the US Department of Health and Human Services (HHS), to develop the rapid antigen test to detect SARS-CoV-2.
“The LightDeck COVID-19 Antigen Test will build on the existing product platform,” said Chris Myatt, CEO and Founder of LightDeck Diagnostics. “Every minute matters when we’re dealing with infectious diseases. We believe our technology can provide an optimal solution to the current gaps in COVID-19 diagnostic testing on a national level.”
Related Links:
LightDeck Diagnostics
LightDeck Diagnostics (Boulder, CO, USA) is developing the LightDeck COVID-19 Antigen Test that leverages the highly sensitive and simple test procedure of waveguide technology with cost-effective manufacturing techniques to deliver an accurate, scalable test. The LightDeck antigen test will be a significantly faster alternative to the current PCR based diagnostic tests, and offer better sensitivity and specificity than the available lateral flow-based tests that require at least 15 minutes to deliver results.
LightDeck has been awarded a USD 5.65 million contract from the Biomedical Advanced Research and Development Authority (BARDA), part of the Office of the Assistant Secretary for Preparedness and Response at the US Department of Health and Human Services (HHS), to develop the rapid antigen test to detect SARS-CoV-2.
“The LightDeck COVID-19 Antigen Test will build on the existing product platform,” said Chris Myatt, CEO and Founder of LightDeck Diagnostics. “Every minute matters when we’re dealing with infectious diseases. We believe our technology can provide an optimal solution to the current gaps in COVID-19 diagnostic testing on a national level.”
Related Links:
LightDeck Diagnostics
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans