93 citations · 512 across the 21 of their papers we have counts for
12 papers · 1 filter
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding +5
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at near-atomic resolution. Cellular cryo-ET images he…
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…
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms
Bo Zhou, Qiang Guo, Xiangrui Zeng +1
Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular structures at the submolecular resolution in close to the native state. However, due to the high degree of str…
Improved deep learning based macromolecules structure classification from electron cryo tomograms
Chengqian Che, Ruogu Lin, Xiangrui Zeng +3
Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of…
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai +1
Cellular electron cryo-tomography enables the 3D visualization of cellular organization in the near-native state and at submolecular resolution. However, the contents of cellular t…
Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms
Min Xu, Xiaoqi Chai, Hariank Muthakana +4
Motivation: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful too…
De novo visual proteomics in single cells through pattern mining
Min Xu, Elitza I Tocheva, Yi-Wei Chang +2
Cryo-electron tomography enables 3D visualization of cells in a near native state at molecular resolution. The produced cellular tomograms contain detailed information about all ma…