Algorithmic linearization improves Syringe-based extrusion in elastic systems using Hydrogel-based materials

•Accuracy and precision are essential for successful extrusion bioprinting, however, intrinsic properties of the components such as nozzle and cartridge shape, elasticity, backlash, etc. immensely complicate the predictability of the results.•This work demonstrates an iterative optimization algorithm that introduces rapid piston movements to compensate for temporal discrepancies between piston motion and material extrusion.•The developed approach allows process optimization without prior knowledge of set-up parameters and properties of the printing material, which makes it versatile and suitable for a wide range of applications. Particularly when the combined set-up and material properties are too complex for solely predictive approaches.•The approach is based on repeated sequences of extrusion, continuous measurement of mass progression and adjustment of machine instructions that are generated by an algorithm developed in the Python programming language.