  Mode competition is conventionally regarded as an unwanted phenomenon that
induces instability of laser emission. Here, we experimentally demonstrate that
the random dynamics behavior of mode competition provides hidden information of
the intracavity topology. We introduced the concept of self-assembled
biophotonics networks, where human insulin protein with network topology was
sandwiched in a Fabry-Perot (FP) cavity. The optical coupling between insulin
fibrils and enables strong mode competition. Thanks to the optical feedback
provided by the FP cavity, the interaction between the light and insulin
network was enhanced. Subtle changes in the network will cause significant
changes in laser mode dynamics. By recording the transverse mode dynamics, we
reconstruct a graph that reveals the optical correlation in the insulin
network. Our results indicate that the graph represents an intrinsic feature
and can sensitivity respond to the stimulus. The unclonable and sensitively
responsive property of the biophotonic lasing network can potentially be
employed in applications in sensing and information encryption.
