Renke Lühken

This paper develops an automated deep learning pipeline for Diptera wing landmark and semilandmark annotation, achieving high accuracy comparable to human observers and outperforming existing methods.

This study shows that invasive mosquito species Aedes aegypti and Aedes albopictus can transmit Barmah Forest Virus across multiple temperatures, highlighting their potential role in expanding the virus's geographic range.

This study compares transmission efficiency and infectious dose requirements of West Nile virus lineages 1 and 2 in different mosquito species.

The paper develops a process-based model to predict the spatial-temporal occurrence of Culex pipiens s.s./Cx. torrentium in Germany, accurately capturing phenology and overwintering behavior.

This paper evaluates using low-cost smartphone imaging with geometric wing morphometrics to accurately identify invasive Aedes mosquito species, finding it reliable but with higher observer variability compared to professional microscopes.

This study examines morphological and genetic diversity in Aedes aegypti across different landscapes in West Africa, revealing significant variation in scaling patterns and mitochondrial lineages.

This study develops a CNN-based system for mosquito species identification using wing images, achieving high accuracy and demonstrating practical usability in real-world conditions.

This study reviews the spread of Dirofilaria immitis and D. repens in Europe, showing increased geographic distribution in the 21st century compared to the 20th.

The paper introduces a dataset of mosquito wing images to support geometric morphometry and machine learning for species identification.

The paper tracks West Nile Virus and Usutu Virus circulation in German birds from 2021 to 2022, finding increased viral activity and geographic expansion, particularly for WNV.

This study challenges the assumption that male mosquitoes exclusively feed on plant sugars by showing they can take blood under dehydration/starvation and transmit pathogens.