Abstract
Exposure to airborne allergens, including pollen, is a primary trigger of allergic airway diseases (AAD) or AAD-like symptoms. Pollen has been the subject of international monitoring using manual counts for decades, a labor-intensive process. Current methods of identification are limited in terms of species and timing. We present a method for identifying pollen species in real-time.
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