Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1539-2020
https://doi.org/10.5194/amt-13-1539-2020
Research article
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31 Mar 2020
Research article | Highlight paper |  | 31 Mar 2020

Real-time pollen monitoring using digital holography

Eric Sauvageat, Yanick Zeder, Kevin Auderset, Bertrand Calpini, Bernard Clot, Benoît Crouzy, Thomas Konzelmann, Gian Lieberherr, Fiona Tummon, and Konstantina Vasilatou

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Short summary
We present the first validation of the only operational automatic pollen monitoring system based on holography, the Swisens Poleno. The device produces real-time images of coarse aerosols, and by applying a machine learning algorithm we identify a range of pollen taxa with accuracy >90 %. The device was further validated in controlled chamber experiments to verify the counting ability and the performance of additional fluorescence measurements, which can further be used in pollen identification.