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Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creation

Bruffaerts N., D’hooge E., Bendinelli T., Dietler S., Plaza M., Erb S., Zeder Y., Pyrri I., Tiwari A., Matavulj P., Graf E., Sikoparija B.
Keywords:

Airflow cytometry, Automatic identification, Culture collection, Fungal spores, Machine learning

Document type Article
Journal title / Source Aerobiologia
Volume 41
Issue 2
Page numbers / Article number 505-525
Publisher's name Springer Science and Business Media LLC
Publisher's address (city only) Dordrecht, GX, Netherlands
Publication date 2025-1-1
DOI 10.1007/s10453-025-09864-y

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Information

Name of Call / Funding Programme
Metrology Partnership 2023: Normative