Marilina de Sautu

This study uses cryogenic electron tomography to visualize the mechanism of membrane perforation during rhesus rotavirus entry, linking structural data with live-cell imaging.

This paper introduces DeepSPT, a deep learning framework that automates the analysis of sub-cellular diffusion to infer functional information, achieving high accuracy in identifying endosomal structures during viral infections.

CryoSamba improves cryo-ET image quality by denoising 3D volumes through self-supervised deep learning without requiring labels or synthetic data.

This study confirms that the rotavirus VP5*/VP8* conformational transition enables membrane permeabilization to Ca2+ through C-terminal segment insertion.