John Urbanik

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy

Deriving insights from experimentally generated datasets requires methods that can account for random and systematic measurement errors and remove them in order to accurately represent the underlying effects of the conditions being tested. Here we present a framework for pretraining on large-scale m…