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.

Related authors

Assessment of real-time bioaerosol particle counters using reference chamber experiments
Gian Lieberherr, Kevin Auderset, Bertrand Calpini, Bernard Clot, Benoît Crouzy, Martin Gysel-Beer, Thomas Konzelmann, José Manzano, Andrea Mihajlovic, Alireza Moallemi, David O'Connor, Branko Sikoparija, Eric Sauvageat, Fiona Tummon, and Konstantina Vasilatou
Atmos. Meas. Tech., 14, 7693–7706,,, 2021
Short summary
Response of black carbon and aerosol absorption measuring instruments to laboratory-generated soot coated with controlled amounts of secondary organic matter
Daniel M. Kalbermatter, Griša Močnik, Luka Drinovec, Bradley Visser, Jannis Röhrbein, Matthias Oscity, Ernest Weingartner, Antti-Pekka Hyvärinen, and Konstantina Vasilatou
Atmos. Meas. Tech. Discuss.,,, 2021
Revised manuscript accepted for AMT
Short summary
Facility for production of ambient-like model aerosols (PALMA) in the laboratory: application in the intercomparison of automated PM monitors with the reference gravimetric method
Stefan Horender, Kevin Auderset, Paul Quincey, Stefan Seeger, Søren Nielsen Skov, Kai Dirscherl, Thomas O. M. Smith, Katie Williams, Camille C. Aegerter, Daniel M. Kalbermatter, François Gaie-Levrel, and Konstantina Vasilatou
Atmos. Meas. Tech., 14, 1225–1238,,, 2021
Short summary
Study of the dependence of long-term stratospheric ozone trends on local solar time
Eliane Maillard Barras, Alexander Haefele, Liliane Nguyen, Fiona Tummon, William T. Ball, Eugene V. Rozanov, Rolf Rüfenacht, Klemens Hocke, Leonie Bernet, Niklaus Kämpfer, Gerald Nedoluha, and Ian Boyd
Atmos. Chem. Phys., 20, 8453–8471,,, 2020
Short summary
Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps
Ingrida Šaulienė, Laura Šukienė, Gintautas Daunys, Gediminas Valiulis, Lukas Vaitkevičius, Predrag Matavulj, Sanja Brdar, Marko Panic, Branko Sikoparija, Bernard Clot, Benoît Crouzy, and Mikhail Sofiev
Atmos. Meas. Tech., 12, 3435–3452,,, 2019
Short summary

Related subject area

Subject: Aerosols | Technique: In Situ Measurement | Topic: Instruments and Platforms
Undersizing of aged African biomass burning aerosol by an ultra-high-sensitivity aerosol spectrometer
Steven G. Howell, Steffen Freitag, Amie Dobracki, Nikolai Smirnow, and Arthur J. Sedlacek III
Atmos. Meas. Tech., 14, 7381–7404,,, 2021
Short summary
Evaluation methods for low-cost particulate matter sensors
Jeffrey K. Bean
Atmos. Meas. Tech., 14, 7369–7379,,, 2021
Short summary
Simulation-aided characterization of a versatile water-based condensation particle counter for atmospheric airborne research
Fan Mei, Steven Spielman, Susanne Hering, Jian Wang, Mikhail S. Pekour, Gregory Lewis, Beat Schmid, Jason Tomlinson, and Maynard Havlicek
Atmos. Meas. Tech., 14, 7329–7340,,, 2021
Short summary
Development of an in situ dual-channel thermal desorption gas chromatography instrument for consistent quantification of volatile, intermediate-volatility and semivolatile organic compounds
Rebecca A. Wernis, Nathan M. Kreisberg, Robert J. Weber, Yutong Liang, John Jayne, Susanne Hering, and Allen H. Goldstein
Atmos. Meas. Tech., 14, 6533–6550,,, 2021
Short summary
Assessment of online water-soluble brown carbon measuring systems for aircraft sampling
Linghan Zeng, Amy P. Sullivan, Rebecca A. Washenfelder, Jack Dibb, Eric Scheuer, Teresa L. Campos, Joseph M. Katich, Ezra Levin, Michael A. Robinson, and Rodney J. Weber
Atmos. Meas. Tech., 14, 6357–6378,,, 2021
Short summary

Cited articles

Backes, A. R., Casanova, D., and Bruno, O. M.: Plant leaf identification based on volumetric fractal dimension, Int. J. Pattern Recogn., 23, 1145–1160, 2009. a
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
Beggs, P. J.: Impacts of Climate Change on Allergens and Allergic Diseases, Cambridge University Press, Cambridge, UK, 2016. a
Berg, M. J., and Videen, G.: Digital holographic imaging of aerosol particles in flight, J. Quant. Spectrosc. Ra., 112, 1776–1783,, 2011. a
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.