BashTheBug is six months old! To mark the event, I’ve written a longer article that appears on the Zooniverse blog which talks through in more detail the goals of our research and how you are all helping us.
You may have noticed the images recently have not had much bacterial growth on them, which, if I was doing lots of classifications, would be a bit boring and also difficult. That was because these were all taken after the M.tuberculosis had only been growing for a week.
BashTheBug was featured yesterday on ScienceUpdate, a one-minute daily briefing on interesting topics in science run by the American Association for the Advancement of Science (AAAS).
Click here to read the transcript or listen to the one minute feature.
You can hear BashTheBug’s creator, Philip Fowler, briefly talk about BashTheBug how he got the idea of using Citizen Science to study antibiotic resistance and how the project has rapidly grown on BBC Radio Oxford by following this link (there are two different excerpts at 1 min 35 s and 1 hr 2 min 20 s). You may only be able to listen if you are in the UK and only until Tue 3 Oct 2017.
In the six weeks since I last wrote a post with a statistics update, the Citizen Scientists have done 60,628 classifications bringing us up to 354,189. That means the project is still classifying around 10,000 images a week which is amazing given BashTheBug was launched back in April. If you recall, the images of the 96-well plates are taken after 7, 10, 14 and 21 days. Days 14 and 21 are complete for all drugs, and days 7 and 10 are complete for some of the antibiotics. The classifications are steadily mounting for the remaining 7 well antibiotics and by my reckoning we are about halfway to completing these too. Don’t worry; once this dataset is complete, I’ll upload another….
Since the last time I gave an update the Citizen Scientists have added nearly 50,000 classifications. I say nearly, because we are at 293,591 classifications so just 6,409 shy of 300,000! Although the front page reports that the project is only 22% complete, we are much, much closer to having some key datasets finished and able to be analysed – see the previous post for more information. Even though we are 15 weeks after the launch of the project, around 10,000 images are still being classified every week (11,430 last week, which is 1,600 per day). So, we should reach 300,000 towards the end of Monday…
To understand this I need to explain where all the images come from. A small part of each sample of Tuberculosis is injected into each well of a 96 well plate; the plate is quite small – a bit bigger than an iPhone. Every well has a specific amount of an antibiotic dried onto the bottom of the plate, except two wells which have no antibiotic at all. There are fourteen different antibiotics on one plate; one with only 4 different dosages, four with 5, seven with 6 and two with 8.