We have developed a high-throughput method, by combining a hybrid neural network with a mechanistic capsule model, to predict membrane elasticity and viscosity of microcapsules from their dynamic deformation in a branched microchannel.
We report the development, validation, and application of an easy-to-use microfluidic micropipette aspiration device and automated image analysis platform that enables high-throughput measurements of the viscoelastic properties of cell nuclei.
Correction for ‘A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules’ by Tao Lin et al., Soft Matter, 2021, DOI: 10.1039/d0sm02121k.
Active microrheology is one of the main methods to determine the mechanical properties of cells and tissue, and the modelling of these viscoelastic properties is under heavy debate with many...