Dissociation of red blood cell aggregates in extensional flow

Red blood cell aggregation significantly affects blood flow, especially in microcirculatory conditions. Our study employs hyperbolic microfluidic constrictions and a convolutional neural network for image analysis to investigate how these aggregates dissociate under extensional flow, in conditions relevant to microcirculation. This research provides crucial data for validating models, and the proposed technique could enhance evaluations of red blood cell aggregability.