[1] O. Alonso, N. Franch, J. Canals, K. Arias-Alpízar, E. de la Serna, E. Baldrich, and A. Diéguez, “An internet of things-based intensity and time-resolved fluorescence reader for point-of-care testing,” Biosensors and Bioelectronics, vol. 154, p. 112074, Apr. 2020. [2] D. Xiao, Z. Zang, N. Sapermsap, Q. Wang, W. Xie, Y. Chen, and D. D. U. Li, “Dynamic fluorescence lifetime sensing with CMOS single-photon avalanche diode arrays and deep learning processors,” Biomedical Optics Express, vol. 12, pp. 3450–3462, June 2021.

With the increasing importance of monitoring-based preventive medicine and advances in the development of fluorometric assays, small and more affordable timeresolved fluorescence measurement techniques are gaining acceptance in biomedical applications [1], [2]. Often these devices are only designed to detect basic properties of a marker and do not have the essential features that would enable the detection of more complex processes in a fluorometric assay.