Achieving a functional bioink print requires understanding the impact of component concentration and the degree of polymer crosslinking on rheology, and how rheology interacts with the speed and geometry of flow within the printer needle. However, most published works focus on a final printed product rather than fundamental in situ flow dynamics, and seek to avoid clogging rather than characterize conditions under which it occurs. A handful of studies synthesize control parameters into printability or process maps which show regions of parameter space suitable for printing and those which are not. Two examples use axes of polymer concentration and nozzle size to describe optimal printing conditions, albeit without crosslinking . Alternative representations in situations with crosslinking polymers include parameters such as flow rates , or measured characteristics like storage modulus .