Yesterday eLife published the first paper from our citizen science project, BashTheBug, which was launched in April 2017 on the Zooniverse platform.
Through BashTheBug we asked for volunteers to classify images of M. tuberculosis growing on a range of concentrations of 13 different antibiotics. The images were derived from photographs of 96-well plates taken after two weeks incubation by the CRyPTIC tuberculosis project. Each image is shown up to 17 times to different volunteers so we can obtain a consensus.
In total the volunteers did over 4.7 million classifications, and by examining a subset of images, this paper determines how best to obtain the consensus and how reproducible and accurate the crowd of volunteers are.
