Bacteria becoming resistant to antibiotics is one of the major threats to global health. The WHO reported in April 2014 that we are approaching a "post-antibiotic era", where common infections could become deadly unless we take dramatic action. New methods for diagnosing antibiotic resistance are therefore of great interest, not only to be able to deploy the right medical treatment more quickly, but also to understand how resistance develops and limit its spread. In this project, I want to use a method I developed to identify the DNA that causes resistance within an hour of sampling instead of several days, as is currently the case. The key to speeding up the identification process is that the method we developed studies individual DNA molecules, thus eliminating the culture step, which is inevitable in traditional techniques. Moreover, the method is compatible with equipment already available in all major hospitals and no major investment is required.