The approach combines scanning electron microscopy with a computer vision model and a web-based application to automatically classify pollen grains based on their microscopic surface features. Its ...
A team of researchers from the Smithsonian Tropical Research Institute is digitizing images of pollen from more than 18,000 plant species from the tropics. The work is published in the journal PLANTS, ...
A team of researchers from the Smithsonian Tropical Research Institute is digitizing images of pollen from more than18,000 plant species from the tropics. These images are being used to train a ...
Pollen from 18,000 tropical plants was digitized in Panama. The images will be used to train a machine-learning model to identify pollen grains, as part of the PollenGEO project Elisabeth King A team ...
Pollen morphology—the study of the size, shape, wall structure and aperture patterns of pollen grains—provides an essential window into the evolution and diversification of flowering plants. The outer ...
Flow Imaging Microscopy (FIM), also referred to as Dynamic Image Analysis (DIA), combines the advantages of traditional particle counters with high-resolution imaging to efficiently and expeditiously ...
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