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Scientific Publications

  1. González-Pérez, M.I., Faulhaber, B., Williams, M. et al.
    A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy.
    Parasites & Vectors 15, 190 (2022).
    DOI: https://doi.org/10.1186/s13071-022-05324-5

  2. González-Pérez, M.I., Faulhaber, B., Aranda, C. et al.
    Field evaluation of an automated mosquito surveillance system which classifies Aedes and Culex mosquitoes by genus and sex.
    Parasites & Vectors 17, 97 (2024).
    DOI: https://doi.org/10.1186/s13071-024-06177-w

  3. Njaime, F.C.B.F.P., Máspero, R.C., Leandro, A.d. et al.
    Automated classification of mixed populations of Aedes aegypti and Culex quinquefasciatus mosquitoes under field conditions.
    Parasites & Vectors 17, 399 (2024).
    DOI: https://doi.org/10.1186/s13071-024-06417-z

  4. Micocci, M., Manica, M., Bernardini, I. et al.
    An easier life to come for mosquito researchers: field-testing across Italy supports VECTRACK system for automatic counting, identification and absolute density estimation of Aedes albopictus and Culex pipiens adults.
    Parasites & Vectors 17, 409 (2024).
    DOI: https://doi.org/10.1186/s13071-024-06479-z

  5. González Pérez, M.I., Faulhaber, B., Williams, M. et al.
    Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.
    Parasites & Vectors 17, 510 (2024).
    DOI: https://doi.org/10.1186/s13071-024-06606-w

  6. Silva, M.; Gouveia, B.R.; Santos, J.M.; Guerreiro, N.; Monteiro, A.; Almeida, S.; Osório, H.C.
    Enhancing Entomological Surveillance: Real-Time Monitoring of Mosquito Activity with the VECTRACK System in Rural and Urban Areas.
    Biology 14, 1047 (2025).
    DOI: https://doi.org/10.3390/biology14081047

  7. González-Pérez, M.I., Cerecedo-Iglesias, C., Richter-Boix, A. et al.
    Unravelling the activity rhythms of urban vector mosquitoes with smart-trap technology.
    Scientific Reports 16, 9075 (2026).
    DOI: https://doi.org/10.1038/s41598-026-38795-y

  8. Herrera, C.; Williams, M.; Encarnação, J.; Roura-Pascual, N.; Faulhaber, B.; Jurado-Rivera, J.A.; Leza, M.
    Automated detection of the yellow-legged hornet (Vespa velutina) using an optical sensor with machine learning.
    Pest Management Science 79, 1225–1233 (2023).
    DOI: https://doi.org/10.1002/ps.7296