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Tonelli A, Mangia V, Candiani A, Pasquali F, Mangiaracina TJ, Grazioli A, Sozzi M, Gorni D, Bussolati S, Cucinotta A, et al. Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications. Sensors. 2021; 21(10):3552. https://doi.org/10.3390/s21103552

Tonelli, Alessandro, Veronica Mangia, Alessandro Candiani, Francesco Pasquali, Tiziana Jessica Mangiaracina, Alessandro Grazioli, Michele Sozzi, Davide Gorni, Simona Bussolati, Annamaria Cucinotta, and et al. 2021. "Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications" Sensors 21, no. 10: 3552. https://doi.org/10.3390/s21103552

Tonelli, A., Mangia, V., Candiani, A., Pasquali, F., Mangiaracina, T. J., Grazioli, A., Sozzi, M., Gorni, D., Bussolati, S., Cucinotta, A., Basini, G., & Selleri, S. (2021). Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications. Sensors, 21(10), 3552. https://doi.org/10.3390/s21103552