2016
DOI: 10.1016/j.atmosenv.2016.05.062
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All-optical automatic pollen identification: Towards an operational system

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Cited by 131 publications
(136 citation statements)
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“…This trend was also noted for individual species, such as grass pollen (r = 0.83), amongst others. These observations are of great interest given that grass pollen is generally considered to be the greatest contributor to hay fever [138]. Recently, an extended version of the PA-300 has been developed, the PA-1000.…”
Section: Pa-300mentioning
confidence: 99%
See 1 more Smart Citation
“…This trend was also noted for individual species, such as grass pollen (r = 0.83), amongst others. These observations are of great interest given that grass pollen is generally considered to be the greatest contributor to hay fever [138]. Recently, an extended version of the PA-300 has been developed, the PA-1000.…”
Section: Pa-300mentioning
confidence: 99%
“…Only one peer-reviewed publication is currently available on the use of the PA-300 [138], which sought to analyze the performance of the PA-300 with regard to pollen identification and airborne particle concentrations. The spectral measurements were made in parallel to a manual reference measurement instrument (Hirst-type volumetric sampler/optical microscopy) during a Swiss pollen season (14th February-31st August, 2016).…”
Section: Pa-300mentioning
confidence: 99%
“…On the one hand, a proper visualization of the raw aerobiological data may be a great help before analysing the data (plot_normsummary and plot_summary functions). In addition, the user may carry (Wickham, 2016) and interactive plots (Chang, Cheng, Allaire, Xie, & McPherson, 2018;Sievert, 2018) for improving the interpretation of the results.…”
Section: Visualization Of the Results: Static And Interactive Plotsmentioning
confidence: 99%
“…New aerobiological methods with automatic sampling devices have been developed over the last years and new devices are under improvement (Crouzy, Stella, Konzelmann, Calpini, & Clot, ; Kawashima et al, ; Oteros et al, ). Such novel techniques will require new methods for analysing the huge amount of real‐time aerobiological data provided (Ghitarrini et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…There are currently a number of systems being developed with the aim of producing real-time (or almost real-time) aerobiological data (e.g. Kawashima et al (2007), Oteros et al (2015), Perring et al (2015), Crouzy et al (2016) and Kawashima et al (2017)) but there is still more scope to work in this area.…”
Section: Knowledge Gaps and Research Needs/prioritiesmentioning
confidence: 99%