Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 3
Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1539-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 3
Research article
 | Highlight paper
 | 
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

Viewed

Total article views: 9,497 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
7,394 1,952 151 9,497 157 191
  • HTML: 7,394
  • PDF: 1,952
  • XML: 151
  • Total: 9,497
  • BibTeX: 157
  • EndNote: 191
Views and downloads (calculated since 04 Dec 2019)
Cumulative views and downloads (calculated since 04 Dec 2019)

Viewed (geographical distribution)

Total article views: 9,497 (including HTML, PDF, and XML) Thereof 8,744 with geography defined and 753 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

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.
Read more
Share