Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1539–1550, 2020
https://doi.org/10.5194/amt-13-1539-2020
Atmos. Meas. Tech., 13, 1539–1550, 2020
https://doi.org/10.5194/amt-13-1539-2020

Research article 31 Mar 2020

Research article | 31 Mar 2020

Real-time pollen monitoring using digital holography

Eric Sauvageat et al.

Viewed

Total article views: 4,186 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,129 1,020 37 4,186 29 43
  • HTML: 3,129
  • PDF: 1,020
  • XML: 37
  • Total: 4,186
  • BibTeX: 29
  • EndNote: 43
Views and downloads (calculated since 04 Dec 2019)
Cumulative views and downloads (calculated since 04 Dec 2019)

Viewed (geographical distribution)

Total article views: 3,512 (including HTML, PDF, and XML) Thereof 3,501 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jan 2022
Download
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.