Zoekresultaten - 5 results
Variability in Alternaria alternata spore characteristics under different culture conditions: implications for automatic detection using air flow cytometry
monitors, because of their significant implications for public health and agriculture due to their role as airborne allergen and plant pathogen. These systems require high-quality reference data for training ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
monitoring. While manual methods exist, interest is shifting towards automated systems employing machine learning. However, challenges persist due to diverse particle properties and limited training data. This ...
Holography-based aerobiological monitoring: a 2-year intercomparison campaign versus the standard Hirst method in Brussels, Belgium
expected by training the identification algorithm with reference datasets generated from pollen collected in the local environment. Health Topics: Health and environment Santé et environnement Gezondheid en ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
challenges, among which the availability of well-curated datasets for training algorithms. While collecting reference material for pollen is relatively straightforward, current automatic monitoring methods for ...
Unlocking the Power of Transcriptomic Biomarkers in Qualitative and Quantitative Genotoxicity Assessment of Chemicals.
classification accuracy for genotoxicity. As these biomarkers were extracted from different training sets, we investigated whether combining the two biomarkers in a human-derived metabolically competent cell line ...