An algorithm and a device for counting airborne pollen automatically using laser optics |
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| Institution: | 1. Kyoto University, Kitashirakawa, Kyoto 606-8502, Japan;2. MeteoSwiss, Station aérologique, CH–1530 Payerne, Switzerland;3. Yamato Engineering Company Ltd., Heiseicho, Yokosuka 238-0013, Japan;4. Yamagata Prefectural Institute of Public Health, Tohkamachi, Yamagata 990-0031, Japan;1. Graduate School of Agriculture, Kyoto University, Kyoto, Japan;2. Yamato Engineering Company, Yokohama, Japan;3. Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland;1. Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479 Poznan, Poland;2. Department of Food Process Engineering, West Pomeranian University of Technology, Papieza Pawla VI 3, 71-459 Szczecin, Poland;3. Department of Plant Taxonomy and Phytogeography, University of Szczecin, Waska 13, 71-415 Szczecin, Poland;4. Laboratory of Aeropalynology, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland;5. Faculty of Geosciences, University of Szczecin, Mickiewicza 18, 70-383 Szczecin, Poland;6. Department of Vegetable Crops, Poznan University of Life Sciences, Dabrowskiego 159, 60-594 Poznan, Poland;1. Finnish Meteorological Institute, Finland;2. Centre for Ecology and Hydrology, Edinburgh EH26 0QB, UK;3. Centre for Ecology and Hydrology, Benson Lane, Wallingford OX10 8BB, UK;4. Universitat Autònoma de Barcelona, Spain;5. Medical University of Vienna, Department of Oto-Rhino-Laryngology, Austria;6. University of Gothenburg, Sweden;7. Institute for Hygiene and Medical Ecology, Ukraine;8. National Institute of Environmental Health, Hungary;9. University of Turku, Finland;10. Vinnitsa National Pirogov Memorial Medical University, Ukraine;11. Siauliai University, Lithuania;12. Moscow State University, Russia;13. University of Novi Sad Faculty of Sciences, Serbia;1. Graduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-Ku, Kyoto 606-8502 Japan;2. Hokkaido Institute of Public Health, 12 Chome Kita 19 Jonishi, Kita Ward, Sapporo, Hokkaido Prefecture 060-0819 Japan;1. Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan;2. Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, CH-1530, Switzerland |
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| Abstract: | Airborne pollen is important in relation to the social issues of pollinosis and of the environmental effects of genetically modified plants. Existing methods for pollen counting involve counting and classifying the grains that adhere to a sampling surface, requiring much time and skilled labor. We therefore have developed a method of automatically monitoring pollen, using a laser-optics instrument. In this instrument, the sideways and forward scattering of laser light by each particle is recorded in real time for computer processing. A field experiment was conducted in 2005, comparing our method with that of the older Hirst method. A scatter plot was made of the forward scattering vs. the sideways scattering for each particle. An algorithm was developed to find the optimum rectangular region of the plot for each type of pollen, and a count of points inside this region was taken as the count for that type of pollen. For the three most common types of pollen found in the field test (Urticaceae, Poaceae, and Ambrosia), the daily counts from this algorithm were compared with the daily counts from the Hirst-type (Burkard) sampler. There was a very high correlation (determination coefficient approximately 0.8) between the results of the two methods. |
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