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)

Kenji Miki, Shigeto Kawashima

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)685-693
Number of pages9
JournalAtmospheric Measurement Techniques
Volume14
Issue number1
DOIs
Publication statusPublished - 2021 Jan 28
Externally publishedYes

ASJC Scopus subject areas

  • Atmospheric Science

Fingerprint

Dive into the research topics of '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)'. Together they form a unique fingerprint.

Cite this