Scalable 3D reconstruction for X-ray single particle imaging with online machine learning.

ABSTRACT: X-ray free-electron lasers offer unique capabilities for measuring the structure and dynamics of biomolecules, helping us understand the basic building blocks of life. Notably, high-repetition-rate free-electron lasers enable single particle imaging, where individual, weakly scattering biomolecules are imaged under near-physiological conditions with the opportunity to access fleeting states that cannot be captured in cryogenic or crystallized conditions. Existing X-ray single particle reconstruction algorithms, which estimate the particle orientation for each image independently, are slow and memory-intensive when handling the massive datasets generated by emerging free-electron lasers. Here, we introduce X-RAI (X-Ray single particle imaging with Amortized Inference), an online reconstruct

SUBMITTER: Shenoy J 

PROVIDER: S-EPMC12290123 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature