Infections are a leading cause of morbidity and mortality globally, and are a major challenge in clinical medicine. Rapid detection and identification of micro-organisms and resistance determinants is paramount for therapy and prevention of infections. Currently culture-based methods are often indispensable but relatively slow. The PhD candidate will develop automated methods and novel technical options, such as hyperspectral imaging combined with colorigenic/fluorogenic substrates and molecular methods, including next generation sequencing (metagenomics). The project aims at boosting diagnostic quality and speed up time to result while containing costs at a reasonable level. Combining the strengths of rapid culture-based, molecular, and novel diagnostic modalities offers novel options. Ultimately, an optimized, automated, multi-modal work flow should lead to early personalized treatment of patients. A training period with the collaboration partner in Italy to gain experience with diagnostic tools and automated high quality sample processing will be part of the project.
Department of Medical Microbiology, University Medical Center Groningen, Groningen, The Netherlands, [MMB]
Paula Mölling, Örebro University Hospital, Sweden
Alban Ramette, Institute for Infectious Diseases, University of Bern
microbiology, diagnostics, next-generation sequencing, metagenomics, hyper-spectral imaging, anti-microbial resistance