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Titelbild Pollen und andere Aerosol-Partikel

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?

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Vom Partikel zum Bildschirm

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?

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Titelbild_Blog_Daten_Relatives_Fluoreszenz_Spektrum

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.

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Daten aus Echtzeit-Messung Analysieren

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.

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Titelbild_Pollen_identifizieren

Can SwisensPoleno identify pollen in my region?

Can SwisensPoleno identify pollen in my region? To address this question, in this article we look at our systems for real-time monitoring of pollen. We show which pollen types SwisensPoleno can currently identify. In addition, you will learn what ways exist should the pollen taxa you want not be on the list.

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Binaries_pictures

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.

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Bioaerosol monitoring with Mars or Jupiter

What is the difference between SwisensPoleno Mars & SwisensPoleno Jupiter? In this article, we’ll help you get up to speed and explain the most important differences between the two systems. We will go into technical and application specific aspects. In the end, you should be able to better understand the products and, in the best case, find the right system for your applications. Have fun reading through.

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Pollen allergic sufferer sneezing

Melbourne monitors pollen in real time

SwisensPoleno Mars provides real-time pollen data for pollen allergy sufferers in Melbourne. Local TV station 9 News Melbourne in collaboration with Melbourne Pollen Count, report benefits of real-time pollen data for both scientists and Melbourne residents affected by pollen allergies.

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AutoPollen München Messkampagne

Automatic pollen monitoring

Pollen is a major component of pathogenic bioaerosols transported through the air. Bioaerosols, invisible to the eye, spread very quickly and over long distances. Bioaerosols also cause allergic reactions and diseases, which can cause great harm and sometimes life-threatening situations for us humans as well as for animals and plants. With this awareness, it seems obvious that we should know more about the air we breathe.

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SwisensPoleno Jupiter FMI Helsinki

Real-time pollen monitoring in Europe

Pollen becomes an issue every year. At the latest in spring and certainly in summer when the birches and grasses start producing pollen. Area-wide pollen monitoring in Europe has been underway in the individual states for decades. However, nationwide, automatic real-time pollen monitoring in Europe is still in its infancy.

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