Articles | Volume 13, issue 3
Atmos. Meas. Tech., 13, 1539–1550, 2020
Atmos. Meas. Tech., 13, 1539–1550, 2020
Research article
 | Highlight paper
31 Mar 2020
Research article  | Highlight paper | 31 Mar 2020

Real-time pollen monitoring using digital holography

Eric Sauvageat et al.

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Cited articles

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Baveye, P., Boast, C. W., Ogawa, S., Parlange, J.-Y., and Steenhuis, T.: Influence of image resolution and thresholding on the apparent mass fractal characteristics of preferential flow patterns in field soils, Water Resour. Res., 34, 2783–2796, 1998. a
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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.