Chasing Mycobacteria
Virginie Uhlmann, EPFL STI LIB
Once upon a time, a bachelor student started working on the problem of automating the analysis of time lapse sequences of mycobacteria as a summer job. Seven years, million lines of code and several sleepless nights later, two final-year PhD students are seriously planning a celebration party as the first results are getting out. To properly segment and track the bugs, a gigantic pipeline mixing image processing, graph theory, integer programming and machine learning will have been required. This talk recounts the story of this epic chase.
Virginie Uhlmann, EPFL STI LIB
Meeting • 10 April 2017
AbstractOnce upon a time, a bachelor student started working on the problem of automating the analysis of time lapse sequences of mycobacteria as a summer job. Seven years, million lines of code and several sleepless nights later, two final-year PhD students are seriously planning a celebration party as the first results are getting out. To properly segment and track the bugs, a gigantic pipeline mixing image processing, graph theory, integer programming and machine learning will have been required. This talk recounts the story of this epic chase.