Author

G.-Q. Bi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

B. Sha· 1 shared C.-L. Tao· 1 shared G. Zhao· 1 shared H. Wang· 1 shared H. Zhang· 1 shared L. Wang· 1 shared M. Gu· 1 shared S. Zhao· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

B. Sha

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multi-Functionalized Self-Bonding MXene for Minimal-invasive Jet-injected Neural Interface and Tissue Healing

B. Sha, S. Zhao, M. Gu, G. Zhao, L. Wang, G.-Q. Bi, Z. Du

The paper develops a minimal-invasive neural interface using MXene nanosheets to promote nerve regeneration and electrophysiology recording in mice.

bioRxiv · Oct 18, 2021Bioengineering

Isotropic Reconstruction of Electron Tomograms with Deep Learning

Y.-T. Liu, H. Zhang, H. Wang, C.-L. Tao, G.-Q. Bi, Z. H. Zhou

This paper introduces IsoNet, a deep learning tool that reduces resolution anisotropy in cryoET data, improving structural interpretability without sub-tomogram averaging.

bioRxiv · Jul 17, 2021 · PreprintCell Biology