Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/amt-19-3427-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3427-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Research article
 | 
26 May 2026
Research article |  | 26 May 2026

A methodological framework for evaluating real-time bioaerosol classification algorithms

Marie-Pierre Meurville, Bernard Clot, Sophie Erb, Maria Lbadaoui-Darvas, Fiona Tummon, Gian-Duri Lieberherr, and Benoît Crouzy

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Short summary
Our method evaluates how well automatic devices can classify pollen and other airborne particles in real time. Our goal is to compare different classification systems and understand their strengths and weaknesses. By developing this evaluation process, we aim to enhance the accuracy of bioaerosol forecasts. This research is essential for improving public health and helping people manage allergies more effectively.
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