Pollen characterization and identification by elastically scattered light
β Scribed by Mario Surbek; Cemal Esen; Gustav Schweiger; Andreas Ostendorf
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 550 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1864-063X
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β¦ Synopsis
Abstract
The authors recorded the elastic lightβscattering 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. (Β© 2011 WILEYβVCH Verlag GmbH & Co. KGaA, Weinheim)
π SIMILAR VOLUMES
The inverse static light-scattering problem for spheres is treated numerically by employing genetic algorithms. Intensity functions are generated with variable amounts of noise and are used as input data in order to deduce both the refractive index and the radius of the particle. Both real and compl