Time resolution in cryo-EM using a PDMS-based microfluidic chip assembly and its application to the study of HflX-mediated ribosome recycling

S Bhattacharjee, X Feng, S Maji, P Dadhwal, Z Zhang… - Cell, 2024 - cell.com
The rapid kinetics of biological processes and associated short-lived conformational
changes pose a significant challenge in attempts to structurally visualize biomolecules …

Automated systematic evaluation of cryo-EM specimens with SmartScope

J Bouvette, Q Huang, AA Riccio, WC Copeland… - Elife, 2022 - elifesciences.org
Finding the conditions to stabilize a macromolecular target for imaging remains the most
critical barrier to determining its structure by cryo-electron microscopy (cryo-EM). While …

Miffi: Improving the accuracy of CNN-based cryo-EM micrograph filtering with fine-tuning and Fourier space information

D Xu, N Ando - Journal of Structural Biology, 2024 - Elsevier
Efficient and high-accuracy filtering of cryo-electron microscopy (cryo-EM) micrographs is an
emerging challenge with the growing speed of data collection and sizes of datasets …

Optimized path planning surpasses human efficiency in cryo-EM imaging

Y Li, Q Fan, Z Xu, ER Lee, J Cohn, V Demers, JY Lee… - biorxiv, 2022 - biorxiv.org
Cryo-electron microscopy (cryo-EM) represents a powerful technology for determining
atomic models of biological macromolecules. Despite this promise, human-guided cryo-EM …

Finding Antibodies in Cryo-EM densities with CrAI

V Mallet, C Rapisarda, H Minoux, M Ovsjanikov - bioRxiv, 2023 - biorxiv.org
Therapeutic antibodies have emerged as a prominent class of new drugs due to their high
specificity and their ability to bind to several protein targets. Once an initial antibody has …

Smart Leginon enables cryoEM screening automation across multiple grids

A Sawh-Gopal, A Ishemgulova, EYD Chua, MF Aragon… - bioRxiv, 2023 - biorxiv.org
CryoEM multi-grid screening is often a tedious process that demands hours of attention.
Here, this protocol shows how to set up standard Leginon collection and Smart Leginon …

Coupling Semi-supervised Learning with Reinforcement Learning for Better Decision Making---An application to Cryo-EM Data Collection

Z Xu, Q Fan, Y Li, ER Lee, JM Cohn, A Tewari… - NeurIPS 2023 AI for … - openreview.net
We consider a semi-supervised Reinforcement Learning (RL) approach that takes inputs
from a perception model. Performance of such an approach can be significantly limited by …