Yuan Yuan

TL;DR: A novel subpixel registration algorithm withGaussian windows to implicitly optimize the subset sizes by adjusting the shape of Gaussian windows in a self-adaptive fashion with the aid of a so-called weighted zero-normalized sum-of-squared difference correlation criterion is proposed.

TL;DR: In this paper, a novel subpixel registration algorithm with Gaussian windows is proposed for accurate deformation measurement in digital image correlation technique, which automatically minimize the influence of subset sizes by self-adaptively tuning the Gaussian window shapes with the aid of a weighted sum-of-squared difference correlation criterion.

TL;DR: The results suggested that the extracellular matrix stiffness regulated latent TGF-β1 activation by cytoskeletal tension in HCC cells, showing that matrix stiffness was a key regulator involving the TGF -β1 activity in H CC cells.

TL;DR: A self-adaptive sampling DIC algorithm for accurate and reliable displacement computation over entire specimen surfaces is developed, which demonstrates that the set of self- Adaptive sampling algorithm is capable of recovering more accurate and precise full-field displacements compared to the conventional D IC algorithm with equidistant sampling.

TL;DR: This novel design greatly improves the analysis throughput of traditional TFM from one to at least twenty cells per petri dish without losing unique advantages, including a high spatial resolution of traction measurements.