Pollen and other aerosol particles

Titelbild Pollen und andere Aerosol-Partikel

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?

Relative fluorescence spectrum of SwisensPoleno Jupiter

Titelbild_Blog_Daten_Relatives_Fluoreszenz_Spektrum

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

Daten aus Echtzeit-Messung Analysieren

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

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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.