Mantis is a modular bacterial diagnostic device that will generate a visible fluorescent signal upon detection of viral antigens in blood sample of viral-infected patients. When quantifying fluorescence, a low signal to noise ratio hinders a proper understanding of the imaging system. Therefore, it is necessary to both increase the sensitivity of the detection and decrease the background signal to allow for a higher accuracy and precision of the quantitative fluorescence measurements [1]. While the fast Mantis reporter module (cpx link) focusses on generating a signal in the shortest possible time, in this project we focus on getting the most robust detection system. Due to the modular nature of Mantis, it is easy to swap out one system for the other, based on the requirements of the antigen we want to detect. For example, when highly contagious diseases are to be detected, a fast signal would be preferred. However, when the aim is to detect not diseases that are not very contagious, but pose a large health risk if untreated, the least amount of false negatives is desired. In order to achieve a robust signal generation system, a high signal-to-noise ratio is essential. In order to achieve this , a higher sensitivity of the fluorescent GFP detection system and a lower background signal are needed. The robust mantis reporter module is based on a two interdependent component systems encoded by two different bacterial cell populations (BCP). For that, two BCPs will be used, each expressing only one of the two components needed to generate the output signal. Both components will be isolated inside their own BCP so the fluorescent signal is not generated. The two components will only be able to interact with each other after both BCPs lyse, which will be biologically induced after sensing the antigen (Figure 1). .