Overcoming noise in living computers with phase-based logic

Bacteria respond to environmental stimuli is driven by their genetic code. By introducing synthetic genetic circuits into cells, we can create biological computers --- adaptable, self-healing, and self-replicating systems. Their ability to operate in diverse settings makes them an interesting alternative to silicon-based devices, that can reduce our reliance on resource-intensive manufacturing. However, the implementation of Boolean logic in living systems is not easy due to noise arising from the stochastic nature of gene expression and molecular interactions, and affecting the circuit precision and scalability.

In this talk, I will discuss an alternative approach to encoding binary signals using phase-based logic. I will describe how oscillating waves of biomolecule concentrations can be simulated by applying principles from electrical engineering and mathematical modelling, and demonstrate a working two-state biological oscillator. Finally, I will discuss the ongoing lab experiments with microfluidics to validate the oscillator design using E. coli cells coupled through quorum signalling.