Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Accurate particle picking of macromolecules of diverse types, shapes and sizes in cryo-electron tomography (cryo-ET) is critical for understanding the molecular architecture of biological systems in their native state. Current deep learning methods have shown potential for identifying macromolecules in tomograms; however, they are vulnerable to annotation noise in the training data and to imbalanced distributions of macromolecule species.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
