ArticleScientific data2025
Pollen holographic images and light-induced fluorescence measurements at the species level.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Review
- Characterization of the atmospheric microbiome in a semi-rural area of Central Europe using flow cytometry.ISME communications · 2026Article
- Pollen holographic images and light-induced fluorescence measurements at the species level.Scientific data · 2025Article
- Operational pollen classification using digital holography and fluorescence.Aerobiologia · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The data collection presented here consists of holographic images and light-induced fluorescence measurements of pollen grains performed with the SwisensPoleno Jupiter, an instrument for real-time bioaerosol monitoring. This pollen collection, sampled directly from plants in their natural environment, is meant to provide reference datasets of airborne, mostly allergenic, pollen species found in central Europe. It has the advantage of including fluorescence measurements in addition to holographic images, giving an insight of both particle composition and morphology. Large reference datasets are necessary to develop automatic pollen monitoring tools but gathering fresh samples is complex, seasonally dependent and time consuming. Data sharing is the key to reduce data generation costs and improve identification of local and long-range transport pollen. These data are meant to be used as the basis for training new pollen identification algorithms that will make use of fluorescence measurements. Their potential reuse can also be to study pollen morphological and compositional variability at the species level.
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Registered trials
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