Smart Microfluidics: a curated dataset of microfluidic liposome formulations with cross-laboratory validation for machine-learning applications

This dataset documents how different formulation choices and microfluidic operating conditions influence the size and uniformity of liposomes produced using a controlled microfluidic system. The data were generated through a multi-step experimental workflow that included a screening phase, two response-surface optimization phases, and an independent cross-laboratory study. Together, these experiments provide an extensive view of how lipid composition and flow conditions shape the final properties of the liposomes.