Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1539–1550, 2020
Atmos. Meas. Tech., 13, 1539–1550, 2020

Research article 31 Mar 2020

Research article | 31 Mar 2020

Real-time pollen monitoring using digital holography

Eric Sauvageat et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Fiona Tummon on behalf of the Authors (17 Feb 2020)  Author's response    Manuscript
ED: Publish as is (05 Mar 2020) by Francis Pope
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.