New paper: Infection Inspection Philip Fowler, 10th September 202410th September 2024 This paper is the cumulation of a lot of hard work by an interdisciplinary team drawn from both the Department of Physics and the John Radcliffe hospital in Oxford; at its heart is the idea that, by fluorescent staining and super-resolution microscopy, one can image individual bacteria and ones which are resistant to an antibiotic look different, providing you’ve stained the right parts of the bug. In other words, this is perfect for Citizen Science which is exactly what Alison and everyone else did with Infection Inspection. Here is to more Citizen Science projects tackling antimicrobial resistance! You can read a previous post about the preprint or go straight to the published paper. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance citizen science clinical microbiology
antimicrobial resistance AMyGDA now available from GitHub 27th January 202027th January 2020 AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
New preprint: comparing different genetics analysis pipelines for tuberculosis 13th January 202513th January 2025 Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More