Real-time bioaerosol monitor
SwisensPoleno Jupiter
The new way of real-time measurement
Stable long-term operation
Reliably measure and identify local concentrations of bioaerosol particles in real time. High availability thanks to robust design and high-quality technology.
Unique identification
Transparent data
Lab and field use
There are no limits to its use. SwisensPoleno Jupiter can be operated both in a network out in the field and as an individual measuring system in the laboratory in a simple and user-friendly manner.
SwisensPoleno Jupiter is the latest generation of optical particle measurement systems for real-time measurement and monitoring of bioaerosols. The real-time bioaerosol monitor SwisensPoleno Jupiter combines the latest measurement methods with artificial intelligence and transparent data evaluation to create a reliable measurement system for automatic particle identification. This includes pollen, spores, other bioaerosols and solid particles in the ambient air.
SwisensPoleno Jupiter briefly explained
Designed for discovering the particle microcosm and pioneering autonomous measurement and monitoring of bioaerosols.
SwisensPoleno Jupiter and its measurement methods:
- holographic images
- light scattering
- polarisation and
- UV-induced fluorescence intensity & lifetime
- particle classes within 0.5 – 300µm
- air sampling volume 40l/min
- sigma-2 geometry sample inlet
- integrated particle concentrator
Further benefits of SwisensPoleno Jupiter
- non-invasive measurement method
- immediate verification of identification results
- remote access to data
- fully remote operation, configuration and updates
- integrated self-cleaning function
- customized weatherproof housing included
- insertable sampler for laboratory evaluation
- no consumables
Breaking new ground with Swisens
Read more about real-time particle measurement
Pollen and other aerosol particles
SwisensPoleno’s artificial intelligence uses a pre-filter to separate different particle categories. In this short blog article, we explain what the prefilter for automatic pollen identification is all about. In doing so, we answer the following question: How can SwisensPoleno distinguish pollen from other aerosol particles?
From particle to Screen
This article describes how we convert individual bioaerosol particles into data available on our screen. In general, we try to answer one main question: How does real-time bioaerosol data get to users?
Relative fluorescence spectrum of SwisensPoleno Jupiter
In this blog article you will learn about the relative fluorescence spectrum of SwisensPoleno Jupiter. We will introduce you step by step to the basics of fluorescence and explain the advantages and disadvantages of relative fluorescence in the real-time measurement of bioaerosols.
How to analyze aerosol data from real-time measurement
The latest technologies allow the measurement and monitoring of aerosol particles in real time. A measuring system continuously draws in air and measures and identifies the particles it contains. This is also the case with the measurement systems from Swisens. In this article, we will show you one way to analyze aerosol data from real-time measurements using our measurement systems and software solutions.
Particle morphology from holographic images
This article explains the basics of automatic aerosol particle identification. We explain how our measurement systems extract information on particle morphology from holographic images and how you can distinguish between different aerosol particles.
Double premiere in Manchester for bioaerosol measurements
In early summer, a double first was celebrated with the installation of a SwisensPoleno measurement system in Manchester (UK). On the one hand, the first nationwide real-time pollen concentrations were measured. Secondly, with the ongoing crisis and various lockdown scenarios, the first remotely installed SwisensPoleno is in operation.
Further Components of SwisensEcosystems
Hardware Components
Hardware
Hardware
SwisensPoleno Mars is the new generation of real-time pollen monitoring using our sophisticated technology and offering network compatibility.
Add-on Components
Tools
SwisensAtomizer is the compact particle disperser for solid and dry particle samples such as pollen, mineral dust and other materials.
Software Components
Software
Swisens DataExplorer is a browser-based software with helpful tools for checking measurement results and monitoring hardware components in the SwisensEcosystem.
Software
Swisens DataAnalyzer is a tool set that enables efficient analysis of large amounts of data in the deep dive of BigData.
Service Components
Service
With Swisens Accelerators, we offer practical training to operate our measurement systems.
Service
Swisens Care is our service for software updates and maintenance on all Swisens systems.
Service
SwisensData is a service with server-integrated data management in the SwisensEcosystem.
Service
The SwisensAI Factory is a competence centre that offers and imparts practical training and knowledge related to automatic particle identification.
This is what our
satisfied customers say
Benoît Crouzy –
Surface Data, Project Manager Swiss Automated Pollen Network
Federal Office of Meteorology and Climatology MeteoSwiss
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Prof Martin Gallagher –
Centre for Atmospheric Science,
University of Manchester
“I speak on behalf of my colleagues who are Urban Observatory Principal Investigators and Research Collaborators from the University of Manchester that we have rarely seen, or been provided with such exemplary support as that provided by Swisens. Swisens customer support has been remarkable given the current situation, from remote training and commissioning to rapid support for hardware and software tools specific to our needs to extremely well organised seminars that actually focus on customer feedback and needs. In particular we have been impressed with the Swisens open source data approach and their attention to different users specific needs. Swisens technical innovations has already generated enormous interest in a bioaerosol-aerobiology community that until recently has been limited with respect to real-world and near real-time detection and importantly quantification of airborne bioaerosol concentrations. Their approach has developed significant rapport with multi-disciplinary researchers and Swisens should be lauded for this.”
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Mikhail Sofiev –
Research Professor
Atmospheric Composition Research Department
Finnish Meteorological Institute
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Debora Käser –
Team Leader
Department for Work Safety / Health Protection
Suva
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