Figure 3:

Interfaces in Julia: Switching between different pipettors without recreating whole experimental protocols is possible for experimental scientists because a common understanding, or interface, exists that specifies tasks which pipettors should be able to perform in a similar manner. In Julia, we can define interfaces such as the AbstractArray class where we specify rules any array-like computational object has to follow. Interfaces allow us to share methods developed for abstract types to custom types. By building our algorithms around interfaces we can make use, reuse, and refinement of code easier.