AI Article Synopsis
- The study focused on measuring the light-scattering patterns of various pollen types to explore their potential for identification.
- The researchers recorded data from several pollen sources, including elm, hazel, birch, and others, to analyze these patterns.
- The findings indicated that each pollen type has unique scattering characteristics, which can be effectively used for classification with straightforward algorithms.
Article Abstract
The authors recorded the elastic light-scattering pattern of pollen over a large spatial angle range to investigate the potential light scattering for pollen identification. The scattering from elm, hazel, birch, chestnut, willow, sunflower, ragweed and pine was measured. The scattering patterns show distinct differences that can be used for the classification of pollen with simple algorithms.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/jbio.200900088 | DOI Listing |
Publication Analysis
Top Keywords
pollen
4
pollen characterization
4
characterization identification
4
identification elastically
4
elastically scattered
4
scattered light
4
light authors
4
authors recorded
4
recorded elastic
4
elastic light-scattering
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!