3 papers
cond-mat.soft2024
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
Phu N. Tran, Sattvic Ray, Linnea Lemma +6
Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motio…
cond-mat.soft2023
Light-activated microtubule-based 2D active nematic
Zahra Zarei, John Berezney, Alexander Hensley +4
We characterize two-dimensional (2D) microtubule-based active nematics driven by light-responsive kinesin motor clusters. We assess two constructs of optogenetic kinesin: opto-K401…
cond-mat.soft2021
Dual antagonistic role of motor proteins in fluidizing active networks
Bibi Najma, Minu Varghese, Lev Tsidilkovski +3
Cells accomplish diverse functions using the same molecular building blocks, from setting up cytoplasmic flows to generating mechanical forces. In particular, transitions between t…