53 citations · 65 across the 3 of their papers we have counts for
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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du, Haohan Wang, Zhenxi Zhu +4
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool that visualizes the structural and spatial organization of macromolecules at a near-native state in single ce…
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms
Liangyong Yu, Ran Li, Xiangrui Zeng +5
Motivation: Cryo-Electron Tomography (cryo-ET) visualizes structure and spatial organization of macromolecules and their interactions with other subcellular components inside singl…
AITom: Open-source AI platform for cryo-electron tomography data analysis
Xiangrui Zeng, Min Xu
Cryo-electron tomography (cryo-ET) is an emerging technology for the 3D visualization of structural organizations and interactions of subcellular components at near-native state an…
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Yixiu Zhao, Xiangrui Zeng, Qiang Guo +1
Motivation: Cellular Electron CryoTomography (CECT) is an emerging 3D imaging technique that visualizes subcellular organization of single cells at submolecular resolution and in n…
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Chang Liu, Xiangrui Zeng, Ruogu Lin +4
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables anal…
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography
Jialiang Guo, Bo Zhou, Xiangrui Zeng +2
Electron Cryo-Tomography (ECT) enables 3D visualization of macromolecule structure inside single cells. Macromolecule classification approaches based on convolutional neural networ…