How do you distinguish pollen from 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
Real-time bioaerosol monitor
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
Based on an extensive data set and in combination with state-of-the-art machine learning algorithms, excellent quality of classification results is achieved.
Transparent data
Transparent logs and access to raw data allow control of measurement data needed for research purposes.
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.
Designed for discovering the particle microcosm and pioneering autonomous measurement and monitoring of bioaerosols.
SwisensPoleno Jupiter and its measurement methods:
The most important specifications at a glance:
Further benefits of SwisensPoleno Jupiter
SwisensPoleno’s artificial intelligence uses a pre-filter to separate different particle categories. In this short blog article, we explain what the
How bioaerosol data gets to users This article describes how we convert individual bioaerosol particles into data available on our screen. In general, we
The latest technologies allow the measurement and monitoring of aerosol particles in real time. A measuring system continuously aspirates air and measures
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
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