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.
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 analysing pollen.
Up to now, scientists have manually counted pollen types in sediments or from air samples using a light microscope -- a specialised and time-consuming task. Dr Ann Power, of the University of Exeter, said:"Pollen is an important environmental indicator, and piecing together the jigsaw of different pollen types in the atmosphere, both today and in the past, can help us build up a picture of biodiversity and climate change.
The team has already used the system to automatically analyse 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 categorise -- a task the new system completed in well under an hour.The new system uses imaging flow cytometry -- a technology which is typically used to investigate cells in medical research, to quickly capture pollen images.
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