Explanipedia

A general framework for evaluating real-time bioaerosol classification algorithms Open

Marie-Pierre Meurville, Sophie Erb, Maria Lbadaoui-Darvas, Fiona Tummon, Gian-Duri Lieberherr , et al. · 2025

Advances in automatic bioaerosol monitoring require updated approaches to evaluate particle classification algorithms. We present a training and evaluation framework based on three metrics: (1) Kendall’s Tau correlation between predicted a…

Recommended terminology for aerobiological studies: automatic and real-time monitoring methods Open

Fiona Tummon, Katharina Bastl, Maximilian Bastl, Paul J. Beggs, Jordina Belmonte , et al. · 2025

Operational pollen classification using digital holography and fluorescence Open

Benoît Crouzy, Marie-Pierre Meurville, Bernard Clot, Sophie Erb, Maria Lbadaoui-Darvas , et al. · 2025

This note introduces the newly developed MeteoSwiss operational pollen classification model based on digital holography and induced fluorescence measurements. A targeted selection of curated training datasets together with a revised model …

Operational pollen classification using digital holography and fluorescence Open

Benoît Crouzy, Marie-Pierre Meurville, Bernard Clot, Sophie Erb, Maria Lbadaoui , et al. · 2025

This note introduces the newly-developed MeteoSwiss operational pollen classification model based on digital holography and induced fluorescence measurements. A targeted selection of curated training datasets together with a revised model …

Profiling pollen and biomass burning particles over Payerne, Switzerland using laser-induced fluorescence lidar and in situ techniques during the 2023 PERICLES campaign Open

Marilena Gidarakou, Alexandros Papayannis, Kunfeng Gao, Panagiotis Gidarakos, Benoît Crouzy , et al. · 2025

Vertical profiles of pollen and biomass burning particles were obtained at a semi-rural site at the MeteoSwiss station near Payerne (Switzerland) using a novel multi-channel elastic-fluorescence lidar combined with in situ measurements dur…

Aerosol Measurements and Decadal Changes: The Role of Climatic Changes and How It Reflects in Respiratory Allergies and Asthma Open

Stelios Kazadzis, Ilias Fountoulakis, Athanasios Damialis, Akriti Masoom, Kyriakoula Papachristopoulou , et al. · 2025

The causative agents of respiratory allergies are bioaerosols, such as house dust mite feces, pollen grains, and fungal spores. Climate change and urbanization are considered to lead to an increase in the load of allergenic bioaerosols due…

Pollen holographic images and light-induced fluorescence measurements at the species level Open

Sophie Erb, Alexis Berne, Bernard Clot, Maria Lbadaoui-Darvas, Gian-Duri Lieberherr , et al. · 2025

Relationship between antihistamine residues in wastewater and airborne pollen concentrations: Insights into population-scale pollinosis response Open

Stephan Baumgartner, Michelle Salvisberg, Bernard Clot, Benoît Crouzy, Peter Schmid‐Grendelmeier , et al. · 2025

Pollinosis is the most prevalent allergic disorder. Assessing the impact of real-world pollen exposure on symptoms remains challenging due to extensive patient-level efforts required. This study explores the potential of wastewater-based e…

Influence of meteorological variables and air pollutants on measurements from automatic pollen sampling devices Open

Mónica González-Alonso, José Oteros, Martin Widmann, José María Maya‐Manzano, Carsten Ambelas Skjøth , et al. · 2024

The role of automatic pollen and fungal spore monitoring across major end-user domains Open

Fiona Tummon, Beverley Adams‐Groom, Célia M. Antunes, Nicolas Bruffaerts, Jeroen Buters , et al. · 2024

Real-time pollen identification using holographic imaging and fluorescence measurements Open

Sophie Erb, Elias Graf, Yanick Zeder, Simone Lionetti, Alexis Berne , et al. · 2024

Over the past few years, a diverse range of automatic real-time instruments has been developed to respond to the needs of end users in terms of information about atmospheric bioaerosols. One of them, the SwisensPoleno Jupiter, is an airflo…

Wastewater-Based Analysis of Antihistamines to Investigate Pollinosis Symptom Burden at Population-Scale Open

Stephan Baumgartner, Michelle Salvisberg, Bernard Clot, Benoît Crouzy, Peter Schmid‐Grendelmeier , et al. · 2023

Background Pollinosis, or hay fever, is the most prevalent allergic disorder. Assessing the impact of real-world pollen exposure on symptoms remains challenging due to the extensive efforts required at the patient level. Objectives We expl…

Comment on egusphere-2023-1572 Open

Sophie Erb, Elias Graf, Yanick Zeder, Simone Lionetti, Alexis Berne , et al. · 2023

Abstract. Over the past few years, a diverse range of automatic real-time instruments has been developed to respond to the needs of end users in terms of information about atmospheric bioaerosols. One of them, the SwisensP…

Real-Time Pollen Identification using Holographic Imaging and Fluorescence Measurement Open

Sophie Erb, Elias Graf, Yanick Zeder, Simone Lionetti, Alexis Berne , et al. · 2023

Over the past few years, a diverse range of automatic real-time instruments has been developed to respond to the needs of end users in terms of information about atmospheric bioaerosols. One of them, the SwisensPoleno Jupiter, is an airflo…

Automatic real-time monitoring of fungal spores: the case of Alternaria spp. Open

Sophie Erb, Alexis Berne, Nina Burgdorfer, Bernard Clot, Marie-José Graber , et al. · 2023

We present the first implementation of the monitoring of airborne fungal spores in real-time using digital holography. To obtain observations of Alternaria spp. spores representative of their airborne stage, we collected events measured in…

Influence of Meteorological Variables and Air Pollutants on Measurements from Automatic Pollen Sampling Devices Open

Mónica González-Alonso, José Oteros, Magda Widmann, José María Maya‐Manzano, Carsten Ambelas Skjøth , et al. · 2023

Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps Open

José María Maya‐Manzano, Fiona Tummon, Reto Abt, Nathan Allan, Landon Bunderson , et al. · 2022

Correction to: False positives: handling them operationally for automatic pollen monitoring Open

Benoît Crouzy, Gian-Duri Lieberherr, Fiona Tummon, Bernard Clot · 2022

Towards standardisation of automatic pollen and fungal spore monitoring: best practises and guidelines Open

Fiona Tummon, Nicolas Bruffaerts, Sevcan Çelenk, Marie Choël, Bernard Clot , et al. · 2022

Standards for manual pollen and fungal spore monitoring have been established based on several decades of experience, tests, and research. New technological and methodological advancements have led to the development of a range of differen…

False positives: handling them operationally for automatic pollen monitoring Open

Benoît Crouzy, Gian-Duri Lieberherr, Fiona Tummon, Bernard Clot · 2022

This note provides a generic method for handling falsely identified particles (false positive detections) in automatic pollen monitoring systems. The benefits of the method are illustrated using data from two different automatic pollen mon…

Short communication: automatic real-time monitoring of fungal spores: the case of <i>Alternaria</i> spp Open

Sophie Erb, Alexis Berne, Nina Burgdorfer, Bernard Clot, Marie-José Graber , et al. · 2022

We present the first implementation of the monitoring of airborne fungal spores in real-time using digital holography. To obtain observations of Alternaria spp. spores representative of their airborne stage, we collected events measured in…

Automatic detection of airborne pollen: an overview Open

Jeroen Buters, Bernard Clot, Carmen Galán, Regula Gehrig, Stefan Gilge , et al. · 2022

Assessment of real-time bioaerosol particle counters using reference chamber experiments Open

Gian-Duri Lieberherr, Kevin Auderset, Bertrand Calpini, Bernard Clot, Benoît Crouzy , et al. · 2021

This study presents the first reference calibrations of three commercially available bioaerosol detectors. The Droplet Measurement Technologies WIBS-NEO (new version of the wideband integrated bioaerosol spectrometer), Plair Rapid-E, and S…

Operational aspects of machine learning in a met-service Open

Mark A. Liniger, D. Cattani, Benoît Crouzy, Daniele Nerini, Lionel Moret , et al. · 2021

<p>Machine Learning has a big potential for various tasks along the whole value chain of a national Met-Service. Indeed, many research groups, private and national weather services have started to explore the possibilities and first …

Assessment of Real-time Bioaerosol Particle Counters using Reference Chamber Experiments Open

Gian-Duri Lieberherr, Kevin Auderset, Bertrand Calpini, Bernard Clot, Benoît Crouzy , et al. · 2021

This study presents the first reference calibrations of three commercially available bioaerosol detectors. The Droplet Measurement Technologies WIBS-NEO, Plair Rapid-E, and Swisens Poleno were compared with a primary standard for particle …

Real-time pollen monitoring using digital holography Open

Eric Sauvageat, Yanick Zeder, Kevin Auderset, Bertrand Calpini, Bernard Clot , et al. · 2020

We present the first validation of the Swisens Poleno, currently the only operational automatic pollen monitoring system based on digital holography. The device provides in-flight images of all coarse aerosols, and here we develop a two-st…

Real-time pollen monitoring using digital holography Open

Eric Sauvageat, Yanick Zeder, Kevin Auderset, Bertrand Calpini, Bernard Clot , et al. · 2019

We present the first validation of the Swisens Poleno, currently the only operational automatic pollen monitoring system based on digital holography. The device provides in-flight images of all coarse aerosols and here we develop a two-ste…

Real-time sensing of bioaerosols: Review and current perspectives Open

J. A. Huffman, A. E. Perring, Nicole Savage, Bernard Clot, Benoît Crouzy , et al. · 2019

Detection of bioaerosols, or primary biological aerosol particles (PBAPs), has become increasingly important for a wide variety of research communities and scientific questions. In particular, real-time (RT) techniques for autonomous, onli…

Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps Open

Ingrida Šaulienė, Laura Šukienė, Gintautas Daunys, Gediminas Valiulis, Lukas Vaitkevičius , et al. · 2019

Pollen-induced allergies are among the most prevalent non-contagious diseases, with about a quarter of the European population being sensitive to various atmospheric bioaerosols. In most European countries, pollen information is based on a…

Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps Open

Ingrida Šaulienė, Laura Šukienė, Gintautas Daunys, Gediminas Valiulis, Lukas Vaitkevičius , et al. · 2019

Pollen-induced allergy is among the most-prevalent non-contagious diseases, with about a quarter of European population sensitive to various atmospheric bioaerosols. In most European countries, pollen information is based on a weekly-cycle…

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