Robotic Next Generation Sequencing Platform Accurately Screens Thousands of COVID-19 Samples at Once
|
By HospiMedica International staff writers Posted on 04 Mar 2021 |

Image: Jeff Wrana, left, is seen in this undated file photo at the Lunenfeld-Tanenbaum Research Institute in Toronto, Canada (Photo courtesy of Sinai Health)
A robotics platform to screen thousands of COVID-19 samples at once has the potential to revolutionize how labs track the spread of viruses and other pathogens, according to new findings.
The study by researchers from the Lunenfeld-Tanenbaum Research Institute (LTRI) at Sinai Health (Toronto, ON, Canada) found that their next-generation, ultra-high-throughput sequencing platform, called C19-SPAR-Se, has a sensitivity rate greater than 95% in positive cases during peak onset. The platform is also cost-effective. The study notes it only costs about USD 8 per test when running thousands of samples at once, as the cost per sample decreases due to economies of scale.
"Identifying positive samples quickly and accurately is critical in beating this pandemic," said Dr. Jeff Wrana, senior investigator at the LTRI and professor in the Department of Molecular Genetics at the University of Toronto. "With new and potentially dangerous variants now circulating, this is a platform that is scalable, automated and capable of analyzing thousands of COVID-19 patient samples in a single instrument run."
Related Links:
Lunenfeld-Tanenbaum Research Institute
The study by researchers from the Lunenfeld-Tanenbaum Research Institute (LTRI) at Sinai Health (Toronto, ON, Canada) found that their next-generation, ultra-high-throughput sequencing platform, called C19-SPAR-Se, has a sensitivity rate greater than 95% in positive cases during peak onset. The platform is also cost-effective. The study notes it only costs about USD 8 per test when running thousands of samples at once, as the cost per sample decreases due to economies of scale.
"Identifying positive samples quickly and accurately is critical in beating this pandemic," said Dr. Jeff Wrana, senior investigator at the LTRI and professor in the Department of Molecular Genetics at the University of Toronto. "With new and potentially dangerous variants now circulating, this is a platform that is scalable, automated and capable of analyzing thousands of COVID-19 patient samples in a single instrument run."
Related Links:
Lunenfeld-Tanenbaum Research Institute
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
Channels
Artificial Intelligence
view channel
Algorithm Identifies Cardiac Arrest Hotspots to Guide AED Placement
Out-of-hospital sudden cardiac arrest is common and usually fatal, and survival depends on rapid defibrillation. Many communities deploy automated external defibrillators without precise guidance, which... Read moreAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read moreCritical Care
view channel
New Brain Stimulation Approach Targets Deep Brain Areas Without Surgery
Noninvasive modulation of deep brain structures remains a major hurdle for treating disorders tied to memory and emotion. The hippocampus is crucial to these functions, yet its depth has limited precise,... Read more
Standardized FMT Protocol May Improve Survival in Severe C. difficile Infection
Clostridioides difficile (C. difficile) infection is a leading cause of health care-acquired diarrhea, and the fulminant form carries high mortality. Many critically ill patients deteriorate despite intensive... Read moreSurgical Techniques
view channel
Single-Use System Enables Minimally Invasive Decompression for Lumbar Spinal Stenosis
Lumbar spinal stenosis is frequently driven by hypertrophic bone that narrows the canal and produces pain. Conventional decompression often relies on larger incisions and bulky retractors, adding time,... Read more
Angiography-Based Tool Matches Standard FFR for Coronary Revascularization Guidance
Cardiologists often need to determine whether coronary artery plaques are truly restricting blood flow before deciding on revascularization. The current standard, fractional flow reserve, requires vasoactive... Read more
Endoscope Enables Fallopian Tube Imaging and Cell Collection for Ovarian Cancer Surveillance
Early detection of ovarian cancer remains challenging because symptoms are nonspecific and available screening tests often fail to identify disease at a curable stage. Many high‑grade serous carcinomas... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
Voice-Driven AI System Enables Structured GI Procedure Documentation
Documentation during gastrointestinal (GI) procedures often competes with real-time clinical decision-making and imposes a significant cognitive burden on physicians. Manual data entry and post-procedure... Read more
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel
New Partnership Expands Access to Predictive Tool for Patient Monitoring
Spacelabs Healthcare has signed an agreement with DEPTH Health, Inc. to make the Rothman Index available to hospitals and health systems through DEPTH’s Real-Time Advisor for Clinical Expert Routing (RACER)... Read more








