New technology for better information about aerosol particles

Swisens Poleno is the only high-tech aerosol particle measurement system with integrated holographic imaging and

UV-induced fluorescence spectroscopy. Using highly sensitive and powerful sensor technology and artificial intelligence, Swisens Poleno measures and identifies bioaerosol particles for scientific and industrial applications. The rich information for single particle characterization and the reliable measurement data in real time enable unprecedented elucidation of primary biological aerosol particles in the air. In a time when science and industry place high demands on air quality and environmental measurements.

The Swisens Poleno operating principle briefly explained

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The new era of particle measurement - the new Swisens Poleno

The measurement of pollen, spores and other primarily biological aerosol particles in real time is a great challenge for the respective measuring systems. Meaningful and accurate data on their composition and concentration in our atmosphere are important for understanding the environment and climate.

Swisens uses a unique combination of measurement methods for the precise and reliable measurement and identification of airborne bioaerosols. The collected properties per particle are based on the analysis of:

  • Dynamic image analysis with holography
  • UV-induced fluorescence intensity
  • UV-induced fluorescence lifetime
  • Light Scattering
  • Polarisation

Swisens Poleno combines this information density for real-time measurements of individual particles in the air. The measurement methods provide detailed information about the morphology and chemical composition of the particles and offer the most comprehensive particle fingerprint on the market. With Supervised and Unsupervised Machine Learning, Swisens Poleno enables automated particle identification in real time while providing open access to the data.

Measurement and identification of particles with Swisens Poleno

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Swisens Data Explorer - evaluate and visualise data in no time at all

Swisens Data Explorer is a browser-based software with user-friendly tools for helpful data analysis and extensive data visualisation for operators of Swisens Poleno systems. The software enables a simplified and accelerated work with the rich data of Swisens Poleno and paves the way for machine learning. In a time where automated measurement systems demand an efficient and intelligent data management.

The Swisens Data Explorer briefly explained

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FAQs for Swisens Poleno

The complete Swisens Poleno system is used for long-term monitoring of aerosol particles in the air, such as pollen or spores. The comprehensive single particle characterization and the reliable measurement data in real time allow an unprecedented clarification of the composition of aerosol particles in the air. In a time when science and industry place high demands on air quality and environmental measurements and their measurement data.
 
In addition to long-term operation in the field, Swisens Poleno can also be operated stand-alone in the laboratory. A power supply unit as well as a keyboard and monitor can be connected directly.

Swisens Poleno measures particles in the size from 0.5 μm to 300 μm.

Swisens Poleno measures the morphological and chemical properties of a particle. The measuring methods create a comprehensive profile of each individual particle. Holographic images are used to analyse volume, size and shape. Optical fluorescence measurement provides further information on the chemical composition. Recorded characteristic values for concentration, flow rate and light polarization ratio complete the comprehensive particle profile.

State-of-the-art algorithms based on machine learning process the acquired properties of each individual particle. With Supervised Machine Learning, Swisens Poleno's software is able to identify particles based on known profiles generated from training data. With Unsupervised Machine Learning the software of Swisens Poleno groups unknown profiles with similar properties. Thanks to clustering it is possible to identify unknown particle classes.

To train the system for a new particle, cleaned samples of the new particles are required. With the Swisens Atomizer the samples are atomized at a constant concentration and sucked in through the inlet of Swisens Poleno. With the help of holographic images, the training data, which consists of a variety of events, can be cleaned.

Individual measurements or events with insufficient quality or unwanted particles can be removed from the training data set with the help of the holographic images and characteristic values using Swisens Data Explorer. The training data sets are then processed using "supervised machine learning" methods and the recognition algorithms are available as a result. The quality of the new algorithms is checked and displayed with the help of a confusion matrix and compared with known reference time series.

All our systems are delivered with the browser-based software Swisens Data Explorer. The Swisens Data Explorer visualises the measurement results of Swisens Poleno and provides insight into the entire database. This allows all measured events to be displayed and checked at any time. An event contains the data of a single measured particle.
In addition to the measurement results, Swisens Data Explorer also displays the current operating parameters of the system. This facilitates control and monitoring during operation. The interface to the data is established via REST API. This enables convenient monitoring of the system from a distance.
For field use, we recommend our complete Swisens Poleno measuring station with an insulated and air-conditioned weatherproof housing. On site, access to the usual power supply system should be guaranteed. For roof installations we recommend the ground connection for lightning discharge and four mounting points for fixation. 

The entire measuring station (including Swisens Poleno) weighs 130kg. 

In addition to long-term operation in the field, Swisens Poleno can also be operated in the laboratory without weatherproof housing. A power supply unit as well as a keyboard and monitor can be connected directly.

The Swisens Poleno weighs 26kg.

With Swisens Data, Swisens offers a solution for simple data management on a central database. Swisens Data automatically synchronises the data from the network and forms an interface for data access via Swisens Data Explorer.
We are pleased that you are interested in our systems. Please contact us - we are looking forward to your inquiry.
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