Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
Data and code modeling cell signal processing using maximum-likelihood estimators, information theory, and stochastic differential equation simulations for "Physical limits of galvanotaxis"
Data and code modeling cell signal processing using maximum-likelihood estimators, information theory, and stochastic differential equation simulations for "Cell shape and orientation control galvanotactic accuracy"
Data, simulations, and GIFs modeling keratocyte galvanotaxis on flat substrates; companion code for ‘Coupling cell shape and velocity leads to oscillation and circling in keratocyte galvanotaxis"
Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.
Serial Imaging of the Tumor and microEnvironment
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