Help us change the way Tuberculosis is diagnosed and treated


An online crowdsourcing project has been launched by MMM researchers to study antibiotic resistance in Tuberculosis (TB) with the help of the public.

You can try out the project for yourself on the Zooniverse website (which contains instructions for how to take part), and follow the project on Twitter.

The Bash the Bug website shows volunteers images of a series of small, circular wells, each containing M.tuberculosis (the bug that causes TB) and a different dose of an antibiotic. The users are then asked to identify in which wells the bacteria have grown, helping the researchers to determine which antibiotics are effective at killing each specific strain of TB.


Dr Philip Fowler, the lead researcher on the online BashTheBug project at the Nuffield Department of Medicine, said: ‘Antibiotic resistance is a global threat, and accurately and rapidly diagnosing drug-resistant disease places a huge strain on hospital laboratories.

‘Knowing which antibiotics are effective against a particular bacterial infection is crucial for effectively treating a patient, whilst also limiting the opportunity for the bug to develop antibiotic-resistance and/or to be passed onto other people.

‘Cultivating and examining TB plates is a time-consuming process, but by enlisting extra help online we hope to examine over 40 million images, something we could never do on our own.’

The CRyPTIC project, of which BashTheBug is a part, is collecting and analysing more than 100,000 TB infection samples from across Africa, Asia, Europe and the Americas at more than a dozen centres between now and 2020. The TB genomes isolated from each sample will be sequenced and their sensitivity to a range of antibiotics tested using a specially designed culture plate, photos of which are uploaded to BashTheBug on the citizen science projects website, Zooniverse. By comparing the genetic code with the results from the culture plate for so many samples from around the world, the CRyPTIC project will build up a more complete picture of which mutations in the TB genetic code confer resistance, ultimately improving the speed and accuracy with which TB is diagnosed and treated.

Project Website:

University of Oxford press release:

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