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Aerosol Science and Technology Volume 54, 2020 - Issue 4
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Original Articles

Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer

Benjamin E. SwansonDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado, USAORCID Iconhttp://orcid.org/0000-0001-7565-2933View further author information
ORCID Icon &
J. Alex HuffmanDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5363-9516View further author information
ORCID Icon
Pages 426-445 | Received 15 Aug 2019, Accepted 18 Dec 2019, Published online: 23 Jan 2020

Citations (11)

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Read on this site (2)

Benjamin Swanson, Maxwell Freeman, Samir Rezgui & J. Alex Huffman. (2023) Pollen classification using a single particle fluorescence spectroscopy technique. Aerosol Science and Technology 57:2, pages 112-133.
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Rewi M. Newnham. (2022) Monitoring airborne pollen in New Zealand. Journal of the Royal Society of New Zealand 52:2, pages 192-211.
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Articles from other publishers (9)

Jiwei Xu, Jianjie Xu, Zhaoyang Tong, Siqi Yu, Bing Liu, Xihui Mu, Bin Du, Zhiwei Liu, Jiang Wang & Dong Liu. (2023) Investigating the impact of attenuated fluorescence spectra on protein discrimination. Optics Express 31:22, pages 35507.
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Jiwei Xu, Jianjie Xu, Zhaoyang Tong, Siqi Yu, Bing Liu, Xihui Mu, Bin Du, Chuan Gao, Jiang Wang, Zhiwei Liu & Dong Liu. (2023) Impact of different classification schemes on discrimination of proteins with noise-contaminated spectra using laboratory-measured fluorescence data. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 296, pages 122646.
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Jiwei Xu, Jianjie Xu, Zhaoyang Tong, Bin Du, Bing Liu, Xihui Mu, Tengxiao Guo, Siqi Yu, Shuai Liu, Chuan Gao, Jiang Wang, Zhiwei Liu & Pengjie Zhang. (2023) Performance of feature extraction method for classification and identification of proteins based on three-dimensional fluorescence spectrometry. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 285, pages 121841.
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Qizhi Xu, Nan Zeng, Wei Guo, Jun Guo, Yonghong He & Hui Ma. (2022) Multi-Angle Polarization Index System for Pollen Type Bioaerosol Recognition. Frontiers in Physics 10.
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Jia-Jing Yang, Christian Klinkenberg, Jian-Zhang Pan, Hans M. Wyss, Jaap M.J. den Toonder & Qun Fang. (2022) An integrated system for automated measurement of airborne pollen based on electrostatic enrichment and image analysis with machine vision. Talanta 237, pages 122908.
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Minghui Zhang, Hang Su, Guo Li, Uwe Kuhn, Siyang Li, Thomas Klimach, Thorsten Hoffmann, Pingqing Fu, Ulrich Pöschl & Yafang Cheng. (2021) High-Resolution Fluorescence Spectra of Airborne Biogenic Secondary Organic Aerosols: Comparisons to Primary Biological Aerosol Particles and Implications for Single-Particle Measurements. Environmental Science & Technology 55:24, pages 16747-16756.
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Kenji Miki, Toshio Fujita & Norio Sahashi. (2021) Development and application of a method to classify airborne pollen taxa concentration using light scattering data. Scientific Reports 11:1.
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Gintautas Daunys, Laura Šukienė, Lukas Vaitkevičius, Gediminas Valiulis, Mikhail Sofiev & Ingrida Šaulienė. (2021) Clustering approach for the analysis of the fluorescent bioaerosol collected by an automatic detector. PLOS ONE 16:3, pages e0247284.
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S. G. Pereira, A. Guedes, I. Abreu & H. Ribeiro. (2020) Testing the Raman parameters of pollen spectra in automatic identification. Aerobiologia 37:1, pages 15-28.
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