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SNF-COST Unravelling atmospheric bioaerosol patterns in real time

Project

The main aim of this PhD research is to automatically detect a wider range of airborne pollen and fungal spore taxa and make this improved information available to the public and other target users, specifically in public health and crop protection services.

Project start01.04.2021
Project end31.03.2025
RegionNational
StatusCurrent projects
  • Measurement & forecasting systems
  • Research & cooperation

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Swiss federal authoritiesSwiss federal authorities

Publications

  • Erb S, Graf E, Zeder Y, Lionetti S, Berne A, Clot B, Lieberherr G, Tummon F, Wullschleger P, Crouzy B. 2023. Real-time pollen identification using holographic imaging and fluorescence measurement. Atmos. Meas. Tech. 17: 441–451.
    https://doi.org/10.5194/amt-17-441-2024
  • Erb S, Berne A, Burgdorfer N, Clot B, Graber MJ, Lieberherr G, Sallin C, Tummon F, Crouzy B. 2023. Automatic real-time monitoring of fungal spores: the case of Alternaria spp. Aerobiologia.
    https://doi.org/10.1007/s10453-023-09780-z