TY - JOUR
T1 - Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa - Establishment of an automated multi-taxa pollen counting estimation system (AME system)
AU - Miki, Kenji
AU - Kawashima, Shigeto
N1 - Funding Information:
Financial support. This research was supported by the Young Research Exchange Programme between Japan and Switzerland under the Japanese–Swiss Science and Technology Programme.
Publisher Copyright:
© 2021 Copernicus GmbH. All rights reserved.
PY - 2021/1/28
Y1 - 2021/1/28
N2 - Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a probability density curve. These findings should help realize a fast and simple automatic pollen monitoring system.
AB - Laser optics have long been used in pollen counting systems. To clarify the limitations and potential new applications of laser optics for automatic pollen counting and discrimination, we determined the light scattering patterns of various pollen types, tracked temporal changes in these distributions, and introduced a new theory for automatic pollen discrimination. Our experimental results indicate that different pollen types often have different light scattering characteristics, as previous research has suggested. Our results also show that light scattering distributions did not undergo significant temporal changes. Further, we show that the concentration of two different types of pollen could be estimated separately from the total number of pollen grains by fitting the light scattering data to a probability density curve. These findings should help realize a fast and simple automatic pollen monitoring system.
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U2 - 10.5194/amt-14-685-2021
DO - 10.5194/amt-14-685-2021
M3 - Article
AN - SCOPUS:85100301388
VL - 14
SP - 685
EP - 693
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
SN - 1867-1381
IS - 1
ER -