Scientists have developed an AI-powered system for fast and accurate pollen analysis, promising insights into environmental changes and potential relief for hayfever sufferers through enhanced pollen forecasts. An emerging system that combines rapid imaging with artificial intelligence could help
are combining cutting-edge technologies including imaging flow cytometry and artificial intelligence to build a system capable of identifying and categorizing pollen at much faster rates. Their progress was published on September 7 in a research paper in. As well as building a fuller picture of past flora, the team hopes the technology could one day be applied to more accurate pollen readings in today’s environment, which may help provide hayfever sufferers to mitigate symptoms.
“However, recognizing what plant species pollen belongs to under a microscope is incredibly labor-intensive and cannot always be done. The system we’re developing will cut the time this takes dramatically and improve classifications. This means we can build a richer picture of pollen in the environment far more swiftly, revealing how the climate, human activity, and biodiversity has changed over time, or better understand what allergens are in the air we breathe.
Dr. Claire Barnes, from Swansea University, said: “Up to now, the AI systems in development to categorize pollen learn from and test on the same pollen libraries – which means each sample is perfect and belongs to species previously seen by the network. These systems are not able to recognize pollen from the environment that’s taken some knocks along the way, nor to categorize pollen not included in training libraries.
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