Add Yahoo as a preferred source to see more of our stories on Google. An electron microscope image, colorized, shows different structures of pollen grains, including sunflower, morning glory and ...

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 ...

Pollen grains are far more than allergens — they are also nature’s time capsules, preserving clues about Earth’s past environments for millions of years. Pollen’s tough outer shell enables it to ...

Scientists at Umeå University have found a way to break open the protective walls of pollen grains – one of the hardest biomaterials in the world – without damaging the inside cell and its components.

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 ...

Please provide your email address to receive an email when new articles are posted on . The model was trained with 6,404 images of 29 pollen species. There was 96% correlation in identifying pollen ...