Yue Eric Yu

Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography

The paper describes a Kaggle challenge for particle picking in cryo-electron tomography, resulting in improved algorithms and highlighting the need for better annotation quality measures.

A Crossed Laser Phase Plate for CryoEM

This paper introduces a crossed laser phase plate (xLPP) for cryoEM, demonstrating improved contrast and resolution in imaging biological samples.

Language Modeling Materializes a World Model of Protein Biology

The paper uses language modeling to create a comprehensive representation of protein biology, enabling structure prediction and discovery of high-affinity protein interactions.

AreTomoLive: Automated reconstruction of comprehensively-corrected and denoised cryo-electron tomograms in real-time and at high throughput

AreTomo3 and DenoisET form an automated GPU pipeline that reconstructs cryo-electron tomograms with tile-based contrast transfer function correction, screens their quality, and denoises them during acquisition.

Dose-Efficient Cryo-Electron Microscopy for Thick Samples using Tilt-Corrected Scanning Transmission Electron Microscopy, Demonstrated on Cells and Single Particles

This paper introduces tilt-corrected bright-field scanning-TEM (tcBF-STEM) for cryo-EM, showing improved contrast and efficiency for thick samples, with a subnanometer resolution SPA map of a virus-like particle.

Annotating CryoET Volumes: A Machine Learning Challenge

The paper introduces a phantom sample and annotated 3D volumes for a machine learning challenge to improve cryoET volume annotation.