An emerging system which combines rapid imaging with artificial intelligence could help scientists build a comprehensive picture of present and historic environmental change—by swiftly and accurately analyzing pollen.
from lakes helps scientists understand which plants were thriving at any given point in history, potentially dating back thousands to millions of years.light microscopeNow, scientists at the University of Exeter and Swansea University 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.
As well as building a fuller picture of past flora, the team hope the technology could one day be applied to more accurate pollen readings in today's environment, which may help provide hay fever sufferers to mitigate symptoms. The paper is titled"Dr.
"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.
The team has already used the system to automatically analyze a 5,500-year-old slice of lake sediment core, rapidly classifying over a thousand pollen grains. In the past, this would have taken a specialist up to eight hours to count and categorize—a task the new system completed in well under an hour.
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