Google+ Facebook Twitter Twitter

Smartphone camera to diagnose infections

Scientists have developed a novel smartphone-based technique to diagnose viral infections that uses a deep-learning algorithm to identify viruses in metal nanoparticle-labelled samples.

The system correctly identified clinically relevant concentrations of Zika, hepatitis B, or hepatitis C in 134 patient samples with 98.97% sensitivity.

Mobile phone subscribers are increasing worldwide – including in sub-Saharan African populations that are heavily burdened by infection outbreaks.

To harness smartphones’ virus-detecting potential, Mohamed Draz and colleagues developed a process in which samples are loaded onto microchips and labelled with platinum nanoprobes, after which a hydrogen peroxide solution is added to the chip, reacting with the platinum-nanoprobe complex to form bubbles. This bubble signal is detected using a smartphone with a trained deep-learning algorithm that determines the viral content.

Image Credit | iStock

Related Articles


A new COVID-19 test that reduces testing time from 30 minutes to less than five and delivers accurate results has been developed by scientists at the University of Birmingham.

Response to COVID-19 reduced in patients with blood cancers

Patients with blood cancers vary in their immune response to COVID-19 and can struggle to clear infection for many weeks, according to new research published in Cancer Cell.

The great big biomedical quiz (Kip Heath special)

For the first instalment of our biomedical science quiz in 2021, we hand the reigns over to healthcare scientist and contestant on a number of TV quizzes, Kip Heath. (Click on the link at the bottom of the quiz to see the answers.)

Creating a COVID laboratory

Microbiology Service Lead Susan Lovegrove outlines the process of creating a new PCR laboratory at Black Country Pathology Services.