Alex J. Noble

The paper shows myosin forces alter F-actin structure, creating a landscape that -catenin recognizes, revealing a mechanism for mechanosensitive signaling.

VirtualIce generates half-synthetic cryoEM micrographs to address the lack of realistic ground-truth datasets for training and evaluating cryoEM machine learning models.

This paper introduces CryoCycle, a method for blotting, vitrifying, and reusing clipped cryoEM grids to reduce costs and improve access to cryoEM.

This paper introduces Smart Leginon Autoscreen, an automated cryoEM grid screening system that reduces operator time from 6 hours to 10 minutes for 12 grids using machine learning and computer vision.

Topaz-Denoise improves cryoEM and cryoET image quality by increasing SNR, enabling faster analysis and solving previously elusive structures.

The paper reduces particle adsorption to air-water interfaces in cryoEM using Spotiton robot and nanowire grids, demonstrated on three biological samples.